68 lines
2.9 KiB
Typst
68 lines
2.9 KiB
Typst
#import "@preview/wordometer:0.1.4": word-count, total-words
|
|
|
|
#set page(
|
|
paper: "a4",
|
|
numbering: "-1-",
|
|
margin: (top: 2.5cm, left: 2.5cm, right: 2.5cm, bottom: 2cm)
|
|
)
|
|
|
|
#set text(
|
|
font: "Times New Roman",
|
|
size: 12pt,
|
|
)
|
|
|
|
Marius Drechsler\
|
|
Process Essay\
|
|
May 17th, 2025
|
|
|
|
#align(center, text(size: 17pt, weight: "bold")[
|
|
*Around the world in 133 ms*
|
|
])
|
|
|
|
#set align(left)
|
|
#set par(
|
|
justify: true,
|
|
leading: 2em,
|
|
spacing: 2em,
|
|
first-line-indent: (amount: 3em, all: true)
|
|
)
|
|
|
|
#show: word-count
|
|
|
|
Have you ever wondered what really happens with your voice when you talking to someone on the phone?
|
|
From the instant the soundwaves leave your throat until they reach the ear of the person you are talking to,
|
|
a series of analog and digital processes collaborate to carry your message.
|
|
In fact, this whole process can be broken down into three major steps -- sampling, quantisation and modulation.
|
|
In the course of this essay, we will investigate each of these steps in more depth to understand how modern
|
|
communication works on a technical level.
|
|
//To understand how we communicate across the globe on a technical level, we begin with the most primitive
|
|
//instrument of all: the human voice.
|
|
|
|
In the sampling process, an analogue signal is transformed into its digital representation.
|
|
This signal can be interpreted as any kind of waveform or motion that has not been processed by
|
|
a digital device yet.
|
|
For example, the sound of your voice or the tone of a guitar string is a suiting type of signal that we
|
|
want to digitize.
|
|
However, a digital device like a computer or a phone cannot unterstand such an analogue signal, thus we have
|
|
to first convert it into some kind of electrical signal the device can unterstand.
|
|
We can achieve that by taking repeated "snapshots" of the current state of the analogue signal and saving
|
|
the corresponding value.
|
|
The resulting signal is now so called "time discreet", because we went from a continuous signal that has a value
|
|
for every imaginable point in time to one where such values only exist at fixed, predefined points in time
|
|
(i.e. every second).
|
|
Going on, we now have a signal that consists of repeated snapshots of the originating signal where each value
|
|
can still be considered as continuous
|
|
|
|
//To see how sampling works, we start with the sounds you make when you speak -- combinations of multiple sound waves at varying frequencies.
|
|
/*For our purposes, however, we can simplify this complexity by modeling your voice as a single
|
|
continuous sine wave, since this idealization does not affect the sampling process.
|
|
Furthermore, we can think of this sine wave as the very first input into our communication pipeline.
|
|
With the analogue signal established, we can go on and discuss the way our signal is transformed into a digital
|
|
representation.
|
|
*/
|
|
|
|
Essay has a total of #total-words words.
|
|
|
|
#pagebreak()
|
|
|
|
#bibliography("./bibliography.bib", style: "ieee", title: "References")
|