9780443273353 - digital signal processing: fundamentals, applications, and deep learning von tan ph.d. electrical engineering university of new mexico, li; jiang ph.d. electrical engineering university of new mexico, jean (12 Ergebnisse)
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Zustand: Nuevo. Digital signal processing editado por Academic press.
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Paperback. Zustand: Brand New. 4th edition. 960 pages. 9.25x7.50x2.00 inches. In Stock.
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Zustand: New. Covers DSP principles with various examples of real-world DSP applications on noise cancellation, communications, control applications, and artificial intelligenceIncludes application examples using DSP techniques for deep learning neural n.
Digital Signal Processing: Fundamentals, Applications, and Deep Learning
Tan Ph.D. Electrical Engineering University of New Mexico, Li
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Zustand: New. 2025. 4th Edition. paperback. . . . . . Books ship from the US and Ireland.
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Taschenbuch. Zustand: Neu. Digital Signal Processing | Fundamentals, Applications, and Deep Learning | Li Tan (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Elsevier LTD | EAN 9780443273353 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter:… preigu.
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Taschenbuch. Zustand: Neu. Neuware -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, work…ed 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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch.
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Taschenbuch. Zustand: Neu. Neuware - 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, wor…ked 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.
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Taschenbuch. Zustand: Neu. Neuware -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, work…ed 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. Englisch.
