Foundations of Signal Processing by Martin Vetterli, et al
Foundations of Signal Processing - Table of Contents
- 1. On Rainbows and Spectra
- 2. From Euclid to Hilbert
- 3. Sequences and Discrete-Time Systems
- 4. Functions and Continuous-Time Systems
- 5. Sampling and Interpolation
- 6. Approximation and Compression
- 7. Localization and Uncertainty
What You Will Learn in Foundations of Signal Processing
Foundations of Signal Processing by Martin Vetterli, Jelena Kovacevic, and Vivek K Goyal is a landmark open-access textbook that establishes a geometric and vector-space approach to modern signal processing. Widely recognized as a foundational treatise in foundations of signal processing, this volume unifies pure mathematical concepts with practical engineering applications.
The book systematically covers infinite-dimensional vector spaces, Hilbert spaces, inner products, linear operators, Fourier representations, sampling theorems, approximation theory, and frame theory. Studying the foundations of signal processing Vetterli pdf equips graduate students and researchers with the mathematical tools required to analyze complex discrete and continuous signals with rigorous geometric intuition.
Universally acclaimed across electrical engineering and computer science departments for its clarity and depth, this monograph bridges functional analysis with computational algorithms. Mastering foundations of signal processing delivers essential theoretical foundations for research in communications, image processing, wavelets, and machine learning.
Book Details & Specifications
Title:
Foundations of Signal Processing by Martin Vetterli, et al
Publisher:
FourierAndWavelets
Year:
2014
Pages:
677
Type:
PDF
Language:
English
ISBN-10 #:
110703860X
ISBN-13 #:
978-1107038608
License:
CC BY-NC-ND 3.0
Amazon:
Amazon
About the Author: Jelena Kovacevic
The author Jelena Kovacevic
is Dean of the Tandon School of Engineering at New York University, celebrated for her foundational contributions to multiresolution signal processing and frame theory.
Vivek K Goyal is Professor of Electrical and Computer Engineering at Boston University and an IEEE Fellow recognized for his research in information theory and computational imaging.
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