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