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.
About this Course
- 5 stars69.54%
- 4 stars20.37%
- 3 stars5.96%
- 2 stars1.64%
- 1 star2.46%
TOP REVIEWS FROM DIGITAL SIGNAL PROCESSING 1: BASIC CONCEPTS AND ALGORITHMS
Lecture explains concepts very clearly. Python labs provide very good hands-on experience.
The math was extremely difficult. But I made it through.
I think it's quite good for one who is interested in signal processing fields and it helps you broaden your vision.
It offers rigorous introduction to DSP. Besides the lectures, it requires separate study of the materials to get well acquainted with the concepts.
About the Digital Signal Processing Specialization
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.
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