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Advanced Signal Processing : A Concise Guide /
"A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting School program for professionals,...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, N.Y. :
McGraw-Hill Education,
[2020]
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| Edición: | First edition. |
| Colección: | McGraw-Hill's AccessEngineering.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | "A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting School program for professionals, with students from electrical engineering, physics, computer and data science, and mathematics backgrounds. It covers the theory underlying applications in statistical signal processing, including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays. Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series forecasting and image classification."--Publisher's description. |
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| Descripción Física: | 1 online resource (353 pages) : illustrations. Also available in print edition. |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781260458947 (e-ISBN) 1260458946 (e-ISBN) 9781260458930 (print-ISBN) 1260458938 (print-ISBN) |