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
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
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
- 5 stars68.76%
- 4 stars20.82%
- 3 stars5.89%
- 2 stars1.57%
- 1 star2.94%
TOP REVIEWS FROM DIGITAL SIGNAL PROCESSING 1: BASIC CONCEPTS AND ALGORITHMS
Thoroughly engaging. One of the better courses on this platform.
The state space approach to explaining the basics of signal processing has been handled well.
One of the mathematically engaging courses I have ever taken on Coursera. Be reminded to have patience to go through the math. Good luck.
Lecture explains concepts very clearly. Python labs provide very good hands-on experience.
About the Digital Signal Processing Specialization
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