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This volume provides an overview of the wide range of mathematical topics in signal processing. The focus is on alternative algebras for signal processing, particularly multilinear and geometric algebra and Gröbner bases. Other topics include array processing and digital communications, wavelets, nonlinear signal processing, Padé approximation, convex optimization, and generalized eigenvalue decomposition. Blending theory and practice, the volume will appeal to a wide range of engineers and mathematicians.
This volume investigates the intersection of advanced mathematical frameworks and their practical application within the field of signal processing. Editors I. K. Proudler and J. G. McWhirter compile research from the Institute of Mathematics and its Applications to address how alternative algebraic structures can optimize signal analysis. The text bridges theoretical developments with engineering requirements, providing a technical overview of current methodologies in the field.
What You Will Find
Experts identify this volume as a specialized reference for researchers and engineers working in signal processing. Readers frequently note the high level of mathematical density and the technical rigor required to engage with the presented algebraic frameworks.
Page Count:
400
Publication Date:
1999-01-28
Publisher:
Oxford University Press
ISBN-10:
0198502028
ISBN-13:
9780198502029
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