Clean main.typ

.gitignore

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

bibliography.bib

@@ -0,0 +1 @@
+

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\
+Name\
-Process Essay\
+Type of essay\
-May 17th, 2025
+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?
+Essay has a total of #total-words words.
-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")