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portada Mathematical Foundations for Signal Processing, Communications, and Networking
Type
Physical Book
Publisher
Author
Language
English
Pages
858
Format
Paperback
ISBN13
9781138072169
Edition No.
1

Mathematical Foundations for Signal Processing, Communications, and Networking

Erchin Serpedin (Editor) Thomas Chen (Editor) Dinesh Rajan (Editor) (Author) · Crc Press · Paperback

Mathematical Foundations for Signal Processing, Communications, and Networking - Erchin Serpedin (Editor) Thomas Chen (Editor) Dinesh Rajan (Editor)

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Synopsis "Mathematical Foundations for Signal Processing, Communications, and Networking"

Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the design, analysis, and optimization of signal processing algorithms, modern communication systems, and networks. Helping readers master key techniques and comprehend the current research literature, the book offers a comprehensive overview of methods and applications from linear algebra, numerical analysis, statistics, probability, stochastic processes, and optimization. From basic transforms to Monte Carlo simulation to linear programming, the text covers a broad range of mathematical techniques essential to understanding the concepts and results in signal processing, telecommunications, and networking. Along with discussing mathematical theory, each self-contained chapter presents examples that illustrate the use of various mathematical concepts to solve different applications. Each chapter also includes a set of homework exercises and readings for additional study. This text helps readers understand fundamental and advanced results as well as recent research trends in the interrelated fields of signal processing, telecommunications, and networking. It provides all the necessary mathematical background to prepare students for more advanced courses and train specialists working in these areas.

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