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Voltar para Digital Signal Processing 1: Basic Concepts and Algorithms

Comentários e feedback de alunos de Digital Signal Processing 1: Basic Concepts and Algorithms da instituição Escola Politécnica Federal de Lausana

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Sobre o curso

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 the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice. To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course....

Melhores avaliações

JA

21 de jul de 2020

very good course, but it require some math and a brief reading of a book in signals, there are only few courses in coursera that are challenging, this is one of them, 10/10

BE

28 de nov de 2022

This course was a great refresher after not working with DSP concepts for while. It also went beyond what I had learned in school with good explanations and extra insights.

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