Name: Digital Signal Processing: Theory and Practice (en Inglés)
Price: 573.44 PEN
Availability: InStock
Author: K. Deergha Rao; M.N.S. Swamy
ISBN: 9789811080807

portada Digital Signal Processing: Theory and Practice (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

K. Deergha Rao; M.N.S. Swamy

Año

2018

Idioma

Inglés

N° páginas

789

Encuadernación

Tapa Dura

ISBN13

9789811080807

Categorías

Matemáticas aplicadas

Digital Signal Processing: Theory and Practice (en Inglés)

K. Deergha Rao; M.n.s. Swamy (Autor) · Springer · Tapa Dura

Libro Físico

S/ 573,44

S/ 1.146,88

Ahorras: S/ 573,44

50% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Digital Signal Processing: Theory and Practice (en Inglés)"

The book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples for easy understanding of the topics, it also includes MATLAB-based examples with codes in order to encourage the readers to become more confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and programmable DSP processors. In addition to problems that require analytical solutions, it discusses problems that require solutions using MATLAB at the end of each chapter.Divided into 13 chapters, it addresses many emerging topics, which are not typically found in advanced texts on DSP. It includes a chapter on adaptive digital filters used in the signal processing problems for faster acceptable results in the presence of changing environments and changing system requirements. Moreover, it offers an overview of wavelets, enabling readers to easily understand the basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which is an area of growing interest for researchers. A valuable resource for undergraduate and graduate students, it can also be used for self-study by researchers, practicing engineers and scientists in electronics, communications, and computer engineering as well as for teaching one- to two-semester courses.