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5 changed files with 50 additions and 11 deletions
1
.gitignore
vendored
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.gitignore
vendored
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@ -1,3 +1,4 @@
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result*
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.direnv
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.envrc
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main.pdf
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@article{testy,
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title={Citation analysis},
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author={Nicolaisen, Jeppe},
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journal={Annual review of information science and technology},
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volume={41},
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number={1},
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pages={609--641},
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year={2007},
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publisher={Wiley Subscription Services, Inc., A Wiley Company Hoboken}
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}
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@ -30,7 +30,8 @@
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typixLib = typix.lib.${system};
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src = typixLib.cleanTypstSource ./.;
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#src = typixLib.cleanTypstSource ./.;
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src = ./.;
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commonArgs = {
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typstSource = "main.typ";
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BIN
main.pdf
BIN
main.pdf
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main.typ
47
main.typ
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#import "@preview/wordometer:0.1.4": word-count, total-words
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#set page(
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paper: "a4",
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numbering: "-1-",
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@ -14,7 +16,7 @@ Process Essay\
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May 17th, 2025
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#align(center, text(size: 17pt, weight: "bold")[
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*Essay title*
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*Around the world in 133 ms*
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])
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#set align(left)
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@ -22,20 +24,45 @@ May 17th, 2025
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justify: true,
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leading: 2em,
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spacing: 2em,
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first-line-indent: (amount: 5em, all: true)
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first-line-indent: (amount: 3em, all: true)
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)
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#lorem(200)
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#show: word-count
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#lorem(200)
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Have you ever wondered what really happens with your voice when you talking to someone on the phone?
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From the instant the soundwaves leave your throat until they reach the ear of the person you are talking to,
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a series of analog and digital processes collaborate to carry your message.
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In fact, this whole process can be broken down into three major steps -- sampling, quantisation and modulation.
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In the course of this essay, we will investigate each of these steps in more depth to understand how modern
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communication works on a technical level.
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//To understand how we communicate across the globe on a technical level, we begin with the most primitive
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//instrument of all: the human voice.
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#lorem(200)
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In the sampling process, an analogue signal is transformed into its digital representation.
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This signal can be interpreted as any kind of waveform or motion that has not been processed by
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a digital device yet.
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For example, the sound of your voice or the tone of a guitar string is a suiting type of signal that we
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want to digitize.
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However, a digital device like a computer or a phone cannot unterstand such an analogue signal, thus we have
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to first convert it into some kind of electrical signal the device can unterstand.
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We can achieve that by taking repeated "snapshots" of the current state of the analogue signal and saving
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the corresponding value.
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The resulting signal is now so called "time discreet", because we went from a continuous signal that has a value
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for every imaginable point in time to one where such values only exist at fixed, predefined points in time
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(i.e. every second).
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Going on, we now have a signal that consists of repeated snapshots of the originating signal where each value
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can still be considered as continuous
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#lorem(200)
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//To see how sampling works, we start with the sounds you make when you speak -- combinations of multiple sound waves at varying frequencies.
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/*For our purposes, however, we can simplify this complexity by modeling your voice as a single
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continuous sine wave, since this idealization does not affect the sampling process.
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Furthermore, we can think of this sine wave as the very first input into our communication pipeline.
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With the analogue signal established, we can go on and discuss the way our signal is transformed into a digital
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representation.
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*/
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#lorem(200)
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#lorem(200)
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Essay has a total of #total-words words.
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#pagebreak()
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#bibliography("bibliography.bib", style: "ieee", title: "References")
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#bibliography("./bibliography.bib", style: "ieee", title: "References")
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