About this Course
This Specialization provides a full course in Digital Signal Processing, with a focus on audio processing and data transmission. You will start from the basic concepts of discrete-time signals and proceed to learn how to analyze data via the Fourier transform, how to manipulate data via digital filters and how to convert analog signals into digital format. Finally, you will also discover how to implement real-time DSP algorithms on a general-purpose microcontroller. The solid theoretical bases provided by the four courses in this specialization are complemented by applied examples in Python, in the form of Jupyter Notebooks; exercises with solutions provide a wealth of examples in order to tackle the weekly homework
What You'll Learn
- Understand discrete-time signals and analyze using Fourier transform
- Manipulate signals with digital filters
- Convert between analog and digital signals
- Apply real-time digital signal processing and digital communications
Prerequisites
- Basic familiarity with topic-related terminology
- Readiness for applied and practical exercises
Instructors
Martin Vetterli
Professor
Paolo Prandoni
Lecturer