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portada Digital Signal Processing: Fundamentals, Applications, and Deep Learning
Type
Physical Book
Publisher
Author
Language
English
Pages
1032
Format
Paperback
ISBN13
9780443273353
Edition No.
4

Digital Signal Processing: Fundamentals, Applications, and Deep Learning

Li Tan Ph.d. Electrical Engineering University Of New Mexico; Jean Jiang Ph.d. Electrical Engineering University Of New Mexico (Author) · Academic Press · Paperback

Digital Signal Processing: Fundamentals, Applications, and Deep Learning - Li Tan Ph.D. Electrical Engineering University Of New Mexico; Jean Jiang Ph.D. Electrical Engineering University Of New Mexico

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Synopsis "Digital Signal Processing: Fundamentals, Applications, and Deep Learning"

Digital Signal Processing: Fundamentals, Applications, and Deep Learning, Fourth Edition introduces students to the fundamental principles of digital signal processing (DSP) while also providing a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this title is also useful as a reference for non-engineering students and practicing engineers. This book goes beyond DSP theory, showing the implementation of algorithms in hardware and software. Additional topics covered include DSP for artificial intelligence, adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as pulse-code modulation, -law, adaptive differential pulse-code modulation, multi-rate DSP, oversampling analog-to-digital conversion, sub-band coding, wavelet transform, and neural networks.

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