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@@ -14,7 +14,7 @@ Process Essay\
 May 17th, 2025
 
 #align(center, text(size: 17pt, weight: "bold")[
-  *Essay title*
+  *Around the world in 133 ms*
 ])
 
 #set align(left)
@@ -29,11 +29,37 @@ May 17th, 2025
 
 #lorem(200)
 
-#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.
 
-#lorem(200)
+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
 
-#lorem(200)
+//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)