The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Foundations of Signal Processing
Abstract
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, the limitations of uncertainty, and computational costs. It includes over 160 homework problems and over 220 worked examples, specifically designed to test and expand students' understanding of the fundamentals of signal processing, and is accompanied by extensive online materials designed to aid learning, including Mathematica® resources and interactive demonstrations.
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Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 36,808
Horn, R. A., & Johnson, C. R. (1985) · Cited by 22,203
A Wavelet Tour of Signal Processing
(1999) · Elsevier eBooks · doi:10.1016/b978-0-12-466606-1.x5000-4 · Cited by 16,227
Probability, Random Variables, and Stochastic Processes.
Abrahams, J., & Papoulis, A. (1984) · Journal of the American Statistical Association · doi:10.2307/2288754 · Cited by 16,226
Daubechies, I. (1992) · doi:10.1137/1.9781611970104 · Cited by 15,979
Least squares quantization in PCM
Lloyd, S. (1982) · IEEE Transactions on Information Theory · doi:10.1109/tit.1982.1056489 · Cited by 15,836
Daubechies, I., & Heil, C. (1992) · Computers in Physics · doi:10.1063/1.4823127 · Cited by 15,631
An algorithm for the machine calculation of complex Fourier series
Cooley, J. W., & Tukey, J. W. (1965) · Mathematics of Computation · doi:10.1090/s0025-5718-1965-0178586-1 · Cited by 13,154
Discrete-Time Signal Processing
Oppenheim, A. V., & Schafer, R. W. (1989) · Cited by 11,775
Cited by
Understanding the Lomb–Scargle Periodogram
VanderPlas, J. T. (2018) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/aab766 · Cited by 1,248
Discrete Signal Processing on Graphs: Sampling Theory
Chen, S., Varma, R., Sandryhaila, A., & Kovacevic, J. (2015) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2015.2469645 · Cited by 666
Visualizing big data with augmented and virtual reality: Challenges and research agenda
Olshannikova, E., Ometov, A., Koucheryavy, Y., & Olsson, T. (2015) · Journal of Big Data · doi:10.1186/s40537-015-0031-2 · Cited by 315
Metadata
- Authors
- Vetterli, M., Kovačević, J., & Goyal, V. K.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2014-09-04
- OpenAlex
- W658512522
- Cited by
- 393
- References
- 72
- FWCI
- 9.75
- Type
- book
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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