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Kategorie szczegółowe BISAC

Foundations of Discrete Harmonic Analysis

ISBN-13: 9783030470470 / Angielski / Miękka / 2020 / 247 str.

Foundations of Discrete Harmonic Analysis Vasily N. Malozemov Sergey M. Masharsky 9783030470470 Birkhauser - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

    

Foundations of Discrete Harmonic Analysis

ISBN-13: 9783030470470 / Angielski / Miękka / 2020 / 247 str.

cena 252,71 zł
(netto: 240,68 VAT:  5%)
Termin realizacji zamówienia:
ok. 16-18 dni roboczych.

Darmowa dostawa!

This book provides an introduction to discrete harmonic analysis (DHA) with a view towards applications to digital signal processing. In a nutshell, DHA is used to determine the time-frequency structure of a digitized signal, providing a representation of the signal as a sum of spectral components that can then be analyzed.

The main methods of DHA are discrete Fourier transform and other discrete orthogonal transforms such as the Walsh and Haar transforms. Fast algorithms are used to process signals in real time, while additional options are provided by spline harmonic analysis. These topics are carefully covered in the book. With only modest prerequisites, some of which are recalled at the beginning, a profound mathematical theory is built almost from scratch. The 150 exercises included form an integral part of the text.

Based decades of teaching experience, this book provides a basis for lecture courses starting at the upper undergraduate level, and will also prove a valuable resource for mathematicians and engineers interested in digital signal processing.

Kategorie:
Nauka, Matematyka
Kategorie BISAC:
Mathematics > Counting & Numeration
Technology & Engineering > Electronics - General
Mathematics > Mathematical Analysis
Wydawca:
Birkhauser
Język:
Angielski
ISBN-13:
9783030470470
Rok wydania:
2020
Wydanie:
2020
Ilość stron:
247
Waga:
0.37 kg
Wymiary:
23.39 x 15.6 x 1.4
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

1 Preliminaries.- 2 Signal Transforms.- 3 Spline Subspaces.- 4 Fast Algorithms.- Solutions.- References.- Index.

Vasily N. Malozemov, Doctor of Science, is professor at the Mathematics and Mechanics Faculty of Saint Petersburg University. His main scientific interests lie in the field of discrete harmonic analysis, spline theory, Chebyshev approximations and nonsmooth optimization, and fast algorithms.

Sergey M. Masharsky, Ph. D., is associate professor at the Mathematics and Mechanics Faculty of Saint Petersburg University. His main scientific interests lie in the field of discrete harmonic analysis and fast algorithms.

Vasily N. Malozemov, Doctor of Science, is professor at the Mathematics and Mechanics Faculty of Saint Petersburg University. His main scientific interests lie in the field of discrete harmonic analysis, spline theory, Chebyshev approximations and nonsmooth optimization, and fast algorithms. Sergey M. Masharsky, Ph. D., is associate professor at the Mathematics and Mechanics Faculty of Saint Petersburg University. His main scientific interests lie in the field of discrete harmonic analysis and fast algorithms.

This book provides an introduction to discrete harmonic analysis (DHA) with a view towards applications to digital signal processing. In a nutshell, DHA is used to determine the time-frequency structure of a digitized signal, providing a representation of the signal as a sum of spectral components that can then be analyzed.

The main methods of DHA are discrete Fourier transform and other discrete orthogonal transforms such as the Walsh and Haar transforms. Fast algorithms are used to process signals in real time, while additional options are provided by spline harmonic analysis. These topics are carefully covered in the book. With only modest prerequisites, some of which are recalled at the beginning, a profound mathematical theory is built almost from scratch. The 150 exercises included form an integral part of the text.

Based decades of teaching experience, this book provides a basis for lecture courses starting at the upper undergraduate level, and will also prove a valuable resource for mathematicians and engineers interested in digital signal processing.



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