Digital Signal Processing | computer science | Scoop.it

Paolo Prandoni, Martin Vetterli

École Polytechnique Fédérale de Lausanne

 

Start: February 2013 (8 weeks)
Workload: 8-10 hours/week
Electrical and Materials Engineering

 

Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.

 

The goal of the course is to develop a complete working set of digital signal processing notions from the ground up. DSP is arguably at the heart of the “digital revolution” that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of information availability.

 

In the class, starting from the basic definitions of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.


Via Dr. Stefan Gruenwald