Описание: This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient.
Автор: Sircar, Pradip, Название: Mathematical Aspects of Signal Processing ISBN: 1107175178 ISBN-13(EAN): 9781107175174 Издательство: Cambridge Academ Рейтинг: Цена: 9187.00 р. Наличие на складе: Поставка под заказ.
Описание: This accessible text provides detailed coverage of the core mathematical concepts underpinning signal processing, focusing on the relationship between theory and applications. Including numerous practice questions, real-world examples, and MATLAB code, it is an excellent reference for graduates studying signal processing and mathematical methods.
Автор: Stephane Mallat Название: A Wavelet Tour of Signal Processing, ISBN: 0123743702 ISBN-13(EAN): 9780123743701 Издательство: Elsevier Science Рейтинг: Цена: 14483.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers the major concepts, techniques and applications of sparse representation. This book presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms.
Описание: Now in an updated second edition, this easily accessible book presents recent advances in digital signal processing (DSP) that simplify or increase the computational speed of common signal processing operations. The material is practical, real-world, with clever DSP tricks of the trade not covered in conventional DSP textbooks.
Автор: Hayes, Monson H. Название: Statistical digital signal processing and modeling ISBN: 0471594318 ISBN-13(EAN): 9780471594314 Издательство: Wiley Рейтинг: Цена: 45636.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book responds to the dramatic growth in digital signal processing (DSP) over the past decade. While its focal point is signal modeling, the book integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering.
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