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.
This course is part of the Digital Signal Processing Specialization
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About this Course
What you will learn
The nature of discrete-time signals
Discrete-time signals are vectors in a vector space
Discrete-time signals can be analyzed in the frequency domain via the Fourier transform
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Syllabus - What you will learn from this course
Module 1.1: Digital Signal Processing: the Basics
Module 1.2: Signal Processing Meets Vector Space
Module 1.3: Fourier Analysis: the Basics
Module 1.4: Fourier Analysis: More Advanced Tools
Reviews
- 5 stars68.91%
- 4 stars20.99%
- 3 stars5.94%
- 2 stars1.58%
- 1 star2.57%
TOP REVIEWS FROM DIGITAL SIGNAL PROCESSING 1: BASIC CONCEPTS AND ALGORITHMS
its good brief introduction to DFT, DFS and DTFT having a unifying theme
One of the mathematically engaging courses I have ever taken on Coursera. Be reminded to have patience to go through the math. Good luck.
It is a really comprehensive course with quizzes that were a bit tricky and challenging. I liked the python notebooks for complementing the theory of the course
Excellent first look into DSP, especially in the context of Fourier. Fairly math heavy so a strong math background is recommended.
About the Digital Signal Processing Specialization

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