Digital signal processing, foundations of communications engineering and physical layer communication techniques.
Illustrative explanation instead of boring math
Python code for all examples
Get the code and play around on your own
Refer to an introduction for a site overview and how to setup the coding environment.
Introduction to use your soundcard as a software-defined radio
(1158 times read)
Explaining OFDM from the continuous-time standpoint, without FFT/IFFT.
(1387 times read)
How can you recognize a linear, a causal and a time-invariant system?
(2275 times read)
The three different representations of the Fourier Series and how they lead to the Fourier Transform.
(729 times read)
Listen to the sound of a saxophone and describe it mathematically.
(1805 times read)
Fundamental Fourier: Expansion of periodic functions into sums of sines and cosines.
(1481 times read)
Illustrations on the Convolution Theorem and how it can be practically applied.
(2806 times read)
Explanation on the causes of multipath propagation and illustrating their effects on audio samples.
(557 times read)
Explanation on why the cyclic prefix (CP) is used in an OFDM system.
(2558 times read)
We illustrate the effect of quantization noise in terms of audio samples.
(857 times read)
Pictorial description of the operation of circular convolution.
(4757 times read)
What does a quantizer do, what is quantization noise and how do we calculate it?
(464 times read)
Complete walkthrough of a digital transmission chain including AD/DA conversion and up/downconversion
(942 times read)
This article explains the convolution operation with the help of animated graphs.
(1209 times read)
Explanation of Aliasing, how it sounds and what the anti-Aliasing filter does.
(627 times read)
Explanation of the terms group delay and phase delay with an example of a bandpass RLC filter.
(1601 times read)
Explanation why dB conversion sometimes uses factor 10 and sometimes factor 20.
(467 times read)
Illustration of a basic OFDM example including channel estimation for OFDM.
(3426 times read)
How to create an eye diagram and check for the first and second Nyquist criterion.
(708 times read)
We derive and illustrate the special properties of the DFT due to its discrete nature including an audio example.
(1584 times read)
Time and frequency properties of the Dirac Comb
(1466 times read)
Understand, how the continuous-time Fourier Transform and discrete Fourier Transform are related
(659 times read)
Linearity, Time-shift and Modulation property of the Fourier Transform
(365 times read)
Understanding the first Nyquist criterion and its implications.
(558 times read)
Motivation for this resource and setting up the coding environment
(1160 times read)