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Digital Signal Processing 1: Basic Concepts and Algorithms
Cole Polytechnique Fdrale de Lausanne via Coursera
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Overview
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. In this series of four courses, you will learn the fundamentals of Digital Signal Processing from...
Syllabus
- Module 1.1: Digital Signal Processing: the Basics
- Introduction to the notation and basics of Digital Signal Processing
- Module 1.2: Signal Processing Meets Vector Space
- Modeling signals as vectors in an appropriate vector space. Using linear algebra to express signal manipulations.
- Module 1.3: Fourier Analysis: the Basics
- The fundamental concepts behind the Fourier transform and the frequency domain
- Module 1.4: Fourier Analysis: More Advanced Tools
- Delving deeper in the world of Fourier analysis.
cole Polytechnique Fdrale de Lausanne via Coursera
4 hours 44 minutes
Paid Certificate Available
English
On-Demand
Intermediate
Instructor
Paolo Prandoni
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