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Digital Signal Processing

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Digital Signal Processing

0 - Default Title
Description
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, µ-law, adaptive differential pulse-code modulation, multi-rate DSP, oversampling analog-to-digital conversion, sub-band coding, wavelet transform, and neural networks.
Product details
Binding:
Paperback
Edition:
4
Number of Pages:
1032
Release Date:
2025-05-23
Publication Date:
2025-05-23
Publisher:
Elsevier LTD
Languages:
Original: English
ISBN10:
0443273359
ISBN13:
9780443273353
GPSR Manufacturer Reference:
[email protected]
Weight:
2044 g
Height:
188 cm
Width:
233 cm
Thickness:
50 cm
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