.gitignore

@@ -1,4 +1,3 @@
 result*
 .direnv
 .envrc
-main.pdf

bibliography.bib

@@ -1 +0,0 @@
-

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")