WEBVTT

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Welcome to another custom -tailored deep dive.

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It's really great to have you with us today.

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Yeah, thanks for joining us. If you're the kind

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of person who loves that sudden aha moment, you

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know, that rush of understanding how the invisible

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infrastructure around you actually works. Right.

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And you prefer your technical analysis without

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the impenetrable jargon, you are definitely in

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the right place. Absolutely. We have a really

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compelling mission for this deep dive today.

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We're exploring a pretty comprehensive Wikipedia

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article on a topic known as microwave analog

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signal processing. Which is fascinating. It is.

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And the core objective today is to uncover exactly

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why, in an ecosystem that feels entirely dominated

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by digital architecture, top engineers and physicists

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are suddenly, well... They're turning back to

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continuous native analog signals. Yeah, they're

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using it to solve some of the most stubborn bottlenecks

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in modern communication, radar, and sensing technologies.

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Which is wild because, I mean, it is a significant

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structural pivot in electrical engineering. Oh,

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massive. We've spent the better part of the last,

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what, 40 years operating under the assumption

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that digital is the inevitable endpoint of all

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signal processing. Right. Digital is king. Exactly.

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And digital signal processing, or DSP, is undeniably

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robust. Yeah. But the physical universe has strict

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speed limits. And we are hitting them. We really

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are. Our current digital technology is starting

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to crash into those limits at high velocity.

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Okay, let's unpack this. We need to set the stage

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by examining the root of that physical bottleneck.

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Digital signal processing is highly effective

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at lower frequency bands. Very effective. It

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takes a continuous signal, samples it. quantizes

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it into discrete digital chunks of ones and zeros,

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and then it runs algorithms on that data. At

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those lower frequencies, the chicks are compact,

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the architecture is highly flexible, and manufacturing

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is cheap. Which is why our current wireless world

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is built entirely on that foundation. Right.

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But the conflict arises because our demand for

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spectral efficiency is surging at an unprecedented

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rate. We all just want more data faster. Exactly.

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To get more bandwidth, networks are pushing into

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ultra -high frequency domains. We're talking

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about the microwave, millimeter wave, and terahertz

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bands. Ultra -high frequencies. Yes. And when

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you force digital processing into those specific

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realms, the architecture fails to scale. It just

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breaks down. Well, the analog to digital and

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digital to analog converters, which act as the

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mandatory toll booth between the physical world

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and the digital processor, they become astronomically

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expensive to design. Oh, I see. Yeah. and their

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performance degrades. Plus, they consume massive

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unsustainable amounts of power trying to sample

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data at those extreme speeds. It's just too much

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heavy lifting. Exactly. And incidentally, I actually

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swapped my studio monitor backdrop today from

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the usual bookshelf to this retro futuristic

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cityscape with glowing radio towers. I noticed

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that it looks awesome. Thanks. It felt appropriate

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because manipulating these high frequency bands

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really is the invisible foundation of the cities

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of tomorrow. The backdrop fits the tone perfectly

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because the engineering solution to this digital

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wall is a framework called real -time analog

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signal processing or RASP. Right. Instead of

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forcefully quantizing a signal into millions

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of discrete digital samples, RASP manipulates

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the broadband signals in their unaltered native

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state. Operating directly in the time domain.

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It doesn't sample the wave. It actually bends

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the raw electromagnetic wave itself in real time.

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Operating natively in the medium it's receiving

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offers drastically lower complexity and much,

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much higher speed. Because you're cutting out

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the middleman. Exactly. You eliminate the latency

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and the power consumption of the conversion process

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entirely. The source material emphasizes that

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this microwave technology provides unprecedented

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solutions for wideband communications, radars,

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and high -resolution imaging that digital systems

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simply cannot handle right now. So it's like,

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if I can use an analogy to make this relatable

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for you listening, it's like trying to translate

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a lightning fast conversation. Okay. Digital

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is furiously trying to transcribe every single

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letter, which takes immense energy and time at

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high speeds. Right. Whereas analog just listens

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and instantly understands the meaning of the

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sound wave. That is a perfect analogy. Here's

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where it gets really interesting. The mechanism

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they used to actually accomplish this natively.

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Yes, the hardware. Right. The foundational piece

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of hardware making this analog resurgence possible

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is something called a dispersive delay structure,

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or DDS. Also commonly referred to by the engineering

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community as a phaser. A phaser. Which just sounds

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incredibly cool. It really does. And the physics

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behind the phaser are remarkably elegant. A DDS

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differentiates the frequency components of an

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input signal based on its group delay frequency

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response. Okay, break that down for us. In practical

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terms, it is a passive component. that intentionally

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delays different frequencies of a broadband signal

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by different, highly specific amounts of time

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as they pass through the structure. Let's visualize

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the wave mechanics of that. You could design

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an upchirp DDS or a downchirp DDS. So if you

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picture a broadband signal as a bundle of different

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frequencies traveling together, an upchirp phaser

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physically forces the higher frequencies to take

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a longer amount of time to pass through the component

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than the lower frequencies. Like a specialized

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racetrack. Exactly. a racetrack that forces the

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faster runners to take a longer route. And a

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downtrip phaser applies the inverse physics.

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It delays the lower frequencies. Right. By forcing

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distinct parts of the wave to experience distinct

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time delays, the phaser ensures that the various

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frequencies emerge from the other side in a highly

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specific, controllable, chronological order.

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And designing these DDS systems with customizable

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group delay responses enables us to map frequency

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directly to time. Which is huge. It is huge.

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By doing that, we can perform real -time Fourier

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transformations natively in the analog domain.

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Without the digital math. Exactly. We don't need

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an algorithm to tell us what frequencies are

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present. The physical time of arrival tells us

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exactly what frequency we are looking at. The

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source material lists several practical applications

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for this, which we want to get into, starting

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with RFID systems. We're all familiar with RFID

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for tracking inventory or accessing buildings.

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Right. The text highlights how this analog RASP

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tag is being used to create chipless RFID tags.

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Chipless, meaning no microchip at all. Conventional

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passive tags still require a microscopic silicon

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integrated circuit to function, but these new

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tags lack integrated circuits entirely. Traditional

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time domain RFIDs. usually rely on digital pulse

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position modulation or PPM coding. Wait, if digital

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pulse position modulation is the reliable industry

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standard for RFID, why is environmental reflection

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suddenly such a deal breaker that we need to

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reinvent the tag? Because as we push these systems

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into higher frequency bands to increase data

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density and read speeds, the physical wavelength

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shrinks. Oh, I see. And at those smaller wavelengths,

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multi -pass scattering where the signal bounces

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off metal shelves or concrete walls and arrives

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at the reader at slightly different times, that

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becomes a dominant source of error. The echoes

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confuse the reader. The digital reader gets completely

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confused by the echoes. The RASP approach solves

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this by using a transmission type all -pass dispersive

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delay structure to generate the PPM codes. purely

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through analog delay. Wow. It creates a simple,

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entirely passive, frequency -scalable RFID solution

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that naturally filters out that reflection interference

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because the code is built into the physical dispersion

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of the wave, not a digital sequence. The elegance

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of that is just striking. You're bypassing the

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need for a microchip just by altering the physical

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geometry of the tag. It's brilliant engineering.

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Let's look at how this applies to frequency division

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multiplexing, or FDM receivers. In an FDM system,

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multiple signals are combined and transmitted

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simultaneously over different frequency bands.

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And a traditional digital FDM receiver requires

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complex local oscillators, mixers, and digital

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filters to separate those multiplex signals back

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out. A lot of hardware. A ton of it. With real

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-time analog processing, we can replace all of

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that with a C -section all -pass DDS designed

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with a linear group delay response. When you

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mention a C -section all -pass DDS, are we talking

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about the actual physical layout of the copper

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microstrip on the circuit board? Exactly. A C

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-section refers to a specific planar geometry

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where two parallel coupled transmission lines

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are connected together at one end, forming a

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C -shape. Okay, a literal C -shape. Yes. And

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when an electromagnetic wave travels through

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this specific geometry, the physical coupling

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between the parallel lines causes different frequencies

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to experience different phase shifts. Because

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the phaser maps each frequency component to a

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strict time delay. Right. So it physically separates

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the multiplex signals purely in the time domain

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as they exit the C -section. You don't need a

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digital processor to sort the signals. The physical

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shape of the circuit board does it automatically.

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The text notes that this principle is also used

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for analog frequency meters. If you increase

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the slope of the group delay, meaning you engineer

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the C -section so that the time delay difference

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between two frequencies is highly pronounced,

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you achieve much finer resolution. Yes, the meter

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can distinguish between two incredibly close

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frequency bands just by measuring the nanosecond

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difference in when they arrive. What's amazing

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is how this localized circuit concept scales

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up to address macro -level network issues. What's

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fascinating here is specifically spectrum sniffing

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and sector detection for cognitive radios. If

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we can perfectly separate these frequencies on

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a printed circuit board, it makes sense that

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engineers are trying to use that same physical

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principle to scan. the open air for empty channels.

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Exactly. The text brings up the Leaky Wave Antenna,

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or LWA. This is a specialized dispersive structure

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designed to continuously radiate energy along

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its entire physical length, rather than just

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from a single point. And if we connect this to

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the bigger picture, think about the current congestion

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in our wireless spectrum. Cellular data. emergency

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communications, Wi -Fi. The spectrum is incredibly

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crowded. It is. Cognitive radios are designed

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to dynamically sniff out available unused frequency

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bands in real time so they can transmit without

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causing interference. And in a traditional setup,

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digital spectrum sniffers require fast Fourier

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transform, or FFT, algorithms to constantly analyze

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the surrounding spectrum. And running continuous

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digital FFT calculations across ultra -wide bandwidths

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drains power rapidly. Precisely. But by utilizing

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the leaky wave antenna as a group delay phaser,

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the cognitive radio achieves real -time frequency

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discrimination natively. How does that work in

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the air? The LWA inherently maps different frequencies

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to different spatial angles of radiation. So

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the angle at which a signal is received physically

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dictates its frequency. That's incredible. Coupled

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with a tunable bandpass filter, the antenna provides

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a simple passive architecture that completely

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bypasses the digital FFT bottleneck. The system

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can instantly map the invisible radio environment

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and lock onto empty channels with minimal power

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draw. That brings us to another highly practical

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application for wideband communications, the

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enhanced SNR impulse radio. SNR being signal

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-to -noise ratio. Right. This functions as a

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sophisticated noise mitigation technique using

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the wave's physical properties. On the transmission

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side, the initial radio pulse is routed through

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an upchirp phaser. As we established earlier,

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the upchirp physically stretches the pulse out

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over time. And stretching that pulse is critical

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for regulatory compliance. Yeah. By dispersing

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the energy of the pulse over a longer time duration,

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you drastically lower its peak instantaneous

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power. It keeps the FCC happy. Exactly. This

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allows the transmitter to stay well within the

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strict power spectral density limits enforced

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by regulatory bodies while still transmitting

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the total required energy for the signal to reach

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its destination. Then the signal travels through

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the environment, where it inevitably picks up

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random burst noise. Sudden spikes of interference

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from other electronics or atmospheric conditions.

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When the stretched signal and the acquired noise

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arrive at the receiver, they are passed through

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a down chirp phaser. The down chirp acts as a

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physical compressor for the desired signal, packing

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that stretched energy back into a sharp, powerful

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impulse. This raises an important question, though.

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Why doesn't the down chirp phaser also compress

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the interference, making the noise spike just

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as powerful as the signal? I wondered the same

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thing. Because the random burst noise picked

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up in the environment was never pre -chirped

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by the transmitter. Right. It enters the receiver

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as a standard, unstretched impulse. So when that

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sharp burst noise hits the downtrip phaser, the

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physical geometry of the phaser stretches and

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spreads the noise out over time, massively dropping

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its peak amplitude. That's a neat trick. You're

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simultaneously compressing your desired signal

00:12:58.950 --> 00:13:01.870
into a dense spike while flattening the interfering

00:13:01.870 --> 00:13:04.690
noise into a low -level background hum. It's

00:13:04.690 --> 00:13:06.769
important to note, as the source material does,

00:13:07.029 --> 00:13:10.990
that standard white Gaussian noise the constant

00:13:10.990 --> 00:13:14.830
random background static remains relatively unaffected

00:13:14.830 --> 00:13:17.110
by this specific process. Because it's already

00:13:17.110 --> 00:13:19.889
dispersed across all frequencies and times. Right.

00:13:20.330 --> 00:13:23.370
But for mitigating sudden disruptive burst noise,

00:13:23.629 --> 00:13:26.409
compressing the signal while spreading the interference

00:13:26.409 --> 00:13:28.970
provides a massive boost to the signal -to -noise

00:13:28.970 --> 00:13:31.730
ratio. It's an exceptionally efficient way to

00:13:31.730 --> 00:13:34.990
improve ranging and communications in harsh electromagnetic

00:13:34.990 --> 00:13:37.750
environments. Which naturally leads us to the

00:13:37.750 --> 00:13:39.549
most complex communication framework discussed

00:13:39.549 --> 00:13:42.129
in the article, dispersion code multiple access

00:13:42.129 --> 00:13:44.860
or DCMA. Sounds like sci -fi. It really does.

00:13:45.080 --> 00:13:48.019
This is a patented technique that utilizes Chebyshev

00:13:48.019 --> 00:13:50.500
polynomials to encode multiple data streams.

00:13:50.860 --> 00:13:53.340
And when engineers refer to Chebyshev polynomials

00:13:53.340 --> 00:13:55.200
in this context, they aren't just talking about

00:13:55.200 --> 00:13:57.519
abstract math. They're talking about engineering

00:13:57.519 --> 00:14:01.000
a filter that produces a very specific, mathematically

00:14:01.000 --> 00:14:04.379
predictable ripple pattern in the frequency domain.

00:14:04.679 --> 00:14:07.320
Okay. DCMA uses these distinct ripple patterns

00:14:07.320 --> 00:14:10.159
to encode individual data streams into unique

00:14:10.159 --> 00:14:13.399
dispersive wave states. encoding the data with

00:14:13.399 --> 00:14:15.740
a digital key, you are encoding it by forcing

00:14:15.740 --> 00:14:18.080
the wave to adopt a highly specific mathematical

00:14:18.080 --> 00:14:21.460
dispersion pattern. That is the core of it. Because

00:14:21.460 --> 00:14:24.620
the Chebyshev polynomials are orthogonal, meaning

00:14:24.620 --> 00:14:27.220
their mathematical patterns are completely independent

00:14:27.220 --> 00:14:30.460
and don't interfere with each other. Multiple

00:14:30.460 --> 00:14:33.000
users can transmit their unique dispersive waves

00:14:33.000 --> 00:14:36.059
simultaneously through the exact same physical

00:14:36.059 --> 00:14:38.759
channel. The signals overlap in the air, but

00:14:38.759 --> 00:14:40.759
their underlying mathematical structures remain

00:14:40.759 --> 00:14:43.919
distinct, like an invisible, highly complex lock

00:14:43.919 --> 00:14:47.139
and key. Exactly. And at the receiving end, the

00:14:47.139 --> 00:14:49.320
system applies an inverse Chebyshev response.

00:14:49.659 --> 00:14:52.980
It functions as a highly tuned dispersive delay

00:14:52.980 --> 00:14:55.980
structure that only compresses and recovers the

00:14:55.980 --> 00:14:58.940
data stream matching its exact polynomial geometry.

00:14:59.360 --> 00:15:02.399
Wow. Any other signals or any environmental noise

00:15:02.399 --> 00:15:04.759
remain dispersed and are ignored by the receiver.

00:15:05.230 --> 00:15:07.789
The text emphasizes that even if a signal is

00:15:07.789 --> 00:15:10.409
buried deep below the ambient noise floor, this

00:15:10.409 --> 00:15:13.350
physical inverse decoding process can recover

00:15:13.350 --> 00:15:15.730
it. That kind of analog noise immunity offers

00:15:15.730 --> 00:15:18.210
immense potential for secure Internet of Things

00:15:18.210 --> 00:15:20.529
networks and military communications. So what

00:15:20.529 --> 00:15:22.169
does this all mean? Is this analog framework

00:15:22.169 --> 00:15:25.029
flawless or are there significant physical limitations

00:15:25.029 --> 00:15:27.389
we're ignoring here? Well, it's definitely not

00:15:27.389 --> 00:15:31.860
flawless. While RASP. bypasses the digital sampling

00:15:31.860 --> 00:15:35.019
bottleneck, the source text is very clear about

00:15:35.019 --> 00:15:37.100
the physical trade -offs the engineering community

00:15:37.100 --> 00:15:39.340
is actively wrestling with. What's the main issue?

00:15:39.580 --> 00:15:42.740
The primary hurdle is a direct conflict between

00:15:42.740 --> 00:15:46.200
resolution and physical size. As we noted with

00:15:46.200 --> 00:15:49.080
the FDM receivers and frequency meters, achieving

00:15:49.080 --> 00:15:52.080
finer resolution requires increasing the slope

00:15:52.080 --> 00:15:55.000
of the group delay. But physically delaying a

00:15:55.000 --> 00:15:57.820
high -frequency wave for a longer period requires

00:15:57.820 --> 00:16:00.379
extending the physical length of the microstrip

00:16:00.379 --> 00:16:02.799
or the waveguide. And as the physical footprint

00:16:02.799 --> 00:16:05.940
of the phaser increases, you run into insertion

00:16:05.940 --> 00:16:08.000
loss. You're losing some of the wave's energy

00:16:08.000 --> 00:16:10.159
simply because it has to travel through a longer,

00:16:10.259 --> 00:16:13.159
more complex physical structure before it reaches

00:16:13.159 --> 00:16:15.559
the end of the circuit. Exactly. The signal degrades.

00:16:15.980 --> 00:16:18.019
Furthermore, designing and fabricating these

00:16:18.019 --> 00:16:20.600
higher -order, complex phasers is exceptionally

00:16:20.600 --> 00:16:23.490
difficult. Because it's analog. Right. Unlike

00:16:23.490 --> 00:16:26.149
digital chips, which benefit from decades of

00:16:26.149 --> 00:16:29.169
standardized mass production lithography, manufacturing

00:16:29.169 --> 00:16:32.009
three -dimensional analog delay structures that

00:16:32.009 --> 00:16:34.789
require microscopic precision at terahertz frequencies,

00:16:35.049 --> 00:16:38.470
that is currently a highly specialized and expensive

00:16:38.470 --> 00:16:41.299
endeavor. The source material does outline the

00:16:41.299 --> 00:16:43.419
specific, cutting -edge strategies researchers

00:16:43.419 --> 00:16:45.519
are employing to mitigate those limitations,

00:16:45.919 --> 00:16:48.500
which gives us a solid roadmap of where the field

00:16:48.500 --> 00:16:51.539
is heading. First, they're aggressively researching

00:16:51.539 --> 00:16:54.240
advanced materials. Instead of relying solely

00:16:54.240 --> 00:16:56.700
on standard copper or traditional dielectrics,

00:16:56.899 --> 00:16:59.980
laboratories are designing phasers using metamaterials.

00:17:00.279 --> 00:17:02.580
Metamaterials are artificial structures engineered

00:17:02.580 --> 00:17:05.380
to have properties not found in naturally occurring

00:17:05.380 --> 00:17:07.980
materials, like a negative index of refraction.

00:17:08.160 --> 00:17:10.559
Right. Utilizing better materials or photonic

00:17:10.559 --> 00:17:12.839
crystals, engineers can manipulate the electromagnetic

00:17:12.839 --> 00:17:15.880
waves much more aggressively within a much smaller

00:17:15.880 --> 00:17:18.279
physical footprint, directly addressing both

00:17:18.279 --> 00:17:20.700
the size limitation and the insertion loss. They're

00:17:20.700 --> 00:17:22.839
also moving away from trial and error physical

00:17:22.839 --> 00:17:25.859
prototyping. The text details how researchers

00:17:25.859 --> 00:17:28.220
are leveraging machine learning algorithms within

00:17:28.220 --> 00:17:31.859
advanced simulation software to predict and optimize

00:17:31.859 --> 00:17:34.599
the complex group delay responses of these phasers

00:17:34.599 --> 00:17:37.900
before a single piece of metal is etched. And

00:17:37.900 --> 00:17:39.900
perhaps most importantly for commercial viability,

00:17:40.119 --> 00:17:43.680
the goal is not to eradicate digital signal processing.

00:17:44.269 --> 00:17:47.210
The industry is really focused on hybrid integrated

00:17:47.210 --> 00:17:49.890
circuit solutions. The best of both worlds. Yes.

00:17:49.950 --> 00:17:53.069
They're investigating how to seamlessly integrate

00:17:53.069 --> 00:17:56.849
these continuous analog RASP components directly

00:17:56.849 --> 00:18:00.230
onto the same semiconductor substrates as traditional

00:18:00.230 --> 00:18:04.180
digital chips. By utilizing high -end 3D microfabrication,

00:18:04.339 --> 00:18:07.039
they can embed these ultra -high -frequency analog

00:18:07.039 --> 00:18:09.240
phasers right next to the digital processors.

00:18:09.519 --> 00:18:11.819
The analog components handle the heavy lifting,

00:18:12.019 --> 00:18:14.259
separating, delaying, and filtering the raw microwave

00:18:14.259 --> 00:18:16.660
signals at the speed of light, and then hand

00:18:16.660 --> 00:18:18.980
off a much cleaner, more manageable signal to

00:18:18.980 --> 00:18:21.079
the digital converter. It represents a highly

00:18:21.079 --> 00:18:24.579
sophisticated, multidisciplinary approach. Combining

00:18:24.579 --> 00:18:27.059
advanced material science, machine learning optimization,

00:18:27.599 --> 00:18:30.079
and next -generation lithography is really the

00:18:30.079 --> 00:18:32.740
only way to scale this technology from the laboratory

00:18:32.740 --> 00:18:35.789
into commercial wireless infrastructure. To bring

00:18:35.789 --> 00:18:37.910
this comprehensive analysis together for you,

00:18:38.069 --> 00:18:41.390
microwave real -time analog signal processing

00:18:41.390 --> 00:18:45.470
is not a nostalgic return to old tech. It is

00:18:45.470 --> 00:18:48.809
a vital, high -speed, low -power leap forward

00:18:48.809 --> 00:18:52.150
to conquer the exact areas where digital technology

00:18:52.150 --> 00:18:54.910
runs out of breath. Rell said, It proves that

00:18:54.910 --> 00:18:57.630
sometimes manipulating the raw, pristine forces

00:18:57.630 --> 00:19:00.309
of nature is better than trying to digitize them.

00:19:00.490 --> 00:19:02.170
And for anyone listening trying to understand

00:19:02.170 --> 00:19:04.920
the trajectory of modern technology, Grasping

00:19:04.920 --> 00:19:07.559
this analog resurgence provides critical context.

00:19:07.759 --> 00:19:10.240
As we confront widespread information overload

00:19:10.240 --> 00:19:13.160
and the surging bandwidth demands of autonomous

00:19:13.160 --> 00:19:16.220
vehicles, IoT networks, and smart cities, you're

00:19:16.220 --> 00:19:18.200
getting a sneak peek into the hidden physical

00:19:18.200 --> 00:19:20.819
architecture that will actually make that future

00:19:20.819 --> 00:19:23.319
connectivity possible. And there's one final,

00:19:23.339 --> 00:19:25.859
highly provocative thought to mull over, building

00:19:25.859 --> 00:19:28.180
upon a passing mention in the source material.

00:19:28.460 --> 00:19:30.980
Oh, right. The text briefly notes that microwave

00:19:30.980 --> 00:19:35.180
RASP serves as the direct counterpart to ultra

00:19:35.180 --> 00:19:38.200
-fast optic signal processing. Currently, we

00:19:38.200 --> 00:19:41.339
use pristine analog processing for lasers traveling

00:19:41.339 --> 00:19:44.039
through fiber optic cables, and we are now developing

00:19:44.039 --> 00:19:46.920
pristine analog processing for microwaves traveling

00:19:46.920 --> 00:19:49.680
through the air. Right. So if we have pristine

00:19:49.680 --> 00:19:52.299
analog processing for microwaves in the air and

00:19:52.299 --> 00:19:55.299
pristine analog processing for lasers in fiber

00:19:55.299 --> 00:19:57.500
optics. What happens when we eventually link

00:19:57.500 --> 00:20:00.119
the two directly? Exactly. Could the future of

00:20:00.119 --> 00:20:03.160
global communication completely bypass the digital

00:20:03.160 --> 00:20:06.339
middleman entirely? Creating a seamless speed

00:20:06.339 --> 00:20:08.660
of light analog network from the bottom of the

00:20:08.660 --> 00:20:10.779
ocean straight to the antennas in our cities.

00:20:10.940 --> 00:20:13.980
A completely continuous planetary scale analog

00:20:13.980 --> 00:20:16.140
network. That is just a brilliant concept to

00:20:16.140 --> 00:20:18.200
leave on. We want to warmly thank you for joining

00:20:18.200 --> 00:20:20.279
us on this deep dive. Thanks for listening. We

00:20:20.279 --> 00:20:22.220
hope analyzing this shift in signal processing

00:20:22.220 --> 00:20:24.299
provided a new perspective on the infrastructure

00:20:24.299 --> 00:20:26.740
around you. Keep questioning how the physical

00:20:26.740 --> 00:20:29.480
world operates and above all, stay insanely curious.
