diff --git a/.gitignore b/.gitignore index dce8922..cb6a416 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,3 @@ result* .direnv .envrc -main.pdf diff --git a/bibliography.bib b/bibliography.bib index 8b13789..e69de29 100644 --- a/bibliography.bib +++ b/bibliography.bib @@ -1 +0,0 @@ - diff --git a/font/TypographerTextur-Bold.ttf b/font/TypographerTextur-Bold.ttf deleted file mode 100755 index 48c7f09..0000000 Binary files a/font/TypographerTextur-Bold.ttf and /dev/null differ diff --git a/font/TypographerTextur-Regular.ttf b/font/TypographerTextur-Regular.ttf deleted file mode 100755 index 4f33045..0000000 Binary files a/font/TypographerTextur-Regular.ttf and /dev/null differ diff --git a/font/TypographerTextur-Schatten.ttf b/font/TypographerTextur-Schatten.ttf deleted file mode 100755 index 2ea98f5..0000000 Binary files a/font/TypographerTextur-Schatten.ttf and /dev/null differ diff --git a/font/typographertextur.zip b/font/typographertextur.zip deleted file mode 100644 index b297f4c..0000000 Binary files a/font/typographertextur.zip and /dev/null differ diff --git a/main.pdf b/main.pdf new file mode 100644 index 0000000..ccde7a6 Binary files /dev/null and b/main.pdf differ diff --git a/main.typ b/main.typ index 8fc0565..e2301eb 100644 --- a/main.typ +++ b/main.typ @@ -1,35 +1,20 @@ -#import "@preview/wordometer:0.1.4": word-count, total-words - #set page( paper: "a4", - //numbering: "1", + numbering: "-1-", margin: (top: 2.5cm, left: 2.5cm, right: 2.5cm, bottom: 2cm) ) -#if (context here().page()) != 1 [ - #set page( - numbering: "1" - ) -] - -#set page( - footer: context { - if here().page() > 1 { - align(center)[#counter(page).display()] - } - } -) - #set text( + font: "Times New Roman", size: 12pt, ) -Name\ -Type of essay\ -Date +Marius Drechsler\ +Process Essay\ +May 17th, 2025 #align(center, text(size: 17pt, weight: "bold")[ - *Essay Title* + *Around the world in 133 ms* ]) #set align(left) @@ -37,14 +22,46 @@ Date justify: true, leading: 2em, spacing: 2em, - first-line-indent: (amount: 3em, all: true) + first-line-indent: (amount: 5em, all: true) ) -#show: word-count +#lorem(200) +#lorem(200) -Essay has a total of #total-words words. +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. +*/ + +#lorem(200) #pagebreak() - -#bibliography("./bibliography.bib", style: "ieee", title: "References") +#bibliography("bibliography.bib", style: "ieee", title: "References")