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Cambridge University Press - Foundations of Signal Processing

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Description

Foundations of Signal Processing by Cambridge University Press provides a comprehensive introduction to the core principles and techniques used in modern signal processing. This textbook guides students through the transition from fundamental signals and systems theory to practical, real-world applications. Readers will explore the mathematical foundations necessary for mastery, including the basic geometry of Hilbert space and the mathematics of Fourier transforms. The text also covers essential topics such as sampling, interpolation, approximation, and compression. Beyond theoretical concepts, the authors address real-world hurdles and discuss methods for adapting these tools to overcome challenges related to localization and finiteness.

Key Features

This Cambridge University Press textbook introduces fundamental principles of signals and systems theory for students.

Learn the mathematical foundations of modern signal processing, including Hilbert space geometry and Fourier transforms.

The content covers essential technical topics such as sampling, interpolation, approximation, and compression.

Authors discuss real-world issues and methods for adapting tools to overcome problems of finiteness and localization.

The text connects theoretical ideas directly to practical, real-world applications in the field.

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