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For Senior/Graduate Level Signal Processing courses. The book is also suitable for a course in advanced signal processing, or for self-study.Mathematical Methods and Algorithms for Signal Processing tackles the challenge of providing students and practitioners with the broad tools of mathematics employed in modern signal processing. Building from an assumed background in signals and stochastic processes, the book provides a solid foundation in analysis, linear algebra, optimization, and statistical signal processing.
This text investigates the mathematical foundations and algorithmic frameworks required to analyze and process modern signals. Authors Todd Moon and Wynn Stirling leverage their academic expertise to bridge the gap between theoretical mathematics and practical engineering applications. The book assumes a foundational knowledge of signals and stochastic processes, utilizing this base to explore complex topics in analysis, linear algebra, optimization, and statistical signal processing.
What You Will Find
Experts and educators frequently identify this work as a rigorous, foundational text suitable for advanced undergraduate and graduate-level engineering curricula. Readers often note the high level of mathematical density, which serves as a comprehensive reference for both students and practicing engineers in the field.
Page Count:
984
Publication Date:
1999-08-04
Publisher:
Pearson
ISBN-10:
0201361868
ISBN-13:
9780201361865
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