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Foundations of Signal Processing

Authors

, École Polytechnique Fédérale de Lausanne, , Carnegie Mellon University, Pennsylvania, , Boston University
Published 2014

Description

This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas of signals and systems theory to real-world applications. Students are introduced to the powerful foundations of modern signal processing, including the basic geometry of Hilbert space, the mathematics of Fourier transforms, and essentials of sampling, interpolation, approximation and compression The authors discuss real-world issues and hurdles to using these tools, and ways of adapting them to overcome problems of finiteness and localization,…

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Key features

  • Includes numerous examples and exercises, specifically designed to test and expand students' understanding of the fundamentals of signal processing
  • Breadth of coverage and variety of supporting material allows for use in different course settings and for self-study
  • Written by leading experts in modern signal processing techniques
  • Standard engineering notation is used throughout, making mathematical examples easy for students to follow, understand and apply

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