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Springer Linear Algebra for Signal Processing - IMA Volumes 69

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Description

This comprehensive volume explores the critical intersection of linear algebra and signal processing, demonstrating how mathematical theory drives modern signal processing applications. Written for professionals and researchers, the book traces the evolution of signal processing techniques across mathematics, computer science, physics, and engineering disciplines. It provides deep insight into how linear algebra has become essential on both theoretical and algorithmic fronts in contemporary signal processing. The work is part of the respected IMA Volumes in Mathematics and its Applications series, offering rigorous treatment of linear algebra concepts as they apply to real-world signal processing challenges in consumer products and communications systems. Ideal for engineers, mathematicians, and computer scientists seeking to understand the mathematical foundations underlying advanced signal processing methods.

Key Features

Part of the IMA Volumes in Mathematics and its Applications series, volume 69, providing authoritative coverage of signal processing mathematics.

Emphasises connections between linear algebra theory and practical signal processing applications across multiple engineering and scientific domains.

Covers both theoretical foundations and algorithmic implementations of linear algebra in modern signal processing systems.

Published by Springer, ensuring peer-reviewed content and academic rigour for professional and research audiences.

Addresses signal processing techniques relevant to contemporary consumer products and advanced communications systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 October 2011
Listed Since
13 July 2012

Barcode

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