Fundamentals of statistical signal processing, Kay, Steven M.

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Andrade
Название: Fundamentals of Stream Processing
ISBN: 1107015545 ISBN-13(EAN): 9781107015548
Издательство: Cambridge Academ
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Цена: 13781.00 р.
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Описание: This book teaches fundamentals of the stream processing paradigm that addresses performance, scalability and usability challenges in extracting insights from massive amounts of live, streaming data. It presents core principles behind application design, system infrastructure and analytics, coupled with real-world examples for a comprehensive understanding of the stream processing area.

Автор: Blanchet
Название: Digital Signal and Image Processing using Matlab, 2e V1 - Fundamentals
ISBN: 1848216408 ISBN-13(EAN): 9781848216402
Издательство: Wiley
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Цена: 25653.00 р.
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Описание:

This fully revised and updated second edition presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications.

Автор: Hayes, Monson H.
Название: Statistical digital signal processing and modeling
ISBN: 0471594318 ISBN-13(EAN): 9780471594314
Издательство: Wiley
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Цена: 45636.00 р.
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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.

Автор: Aurelio Uncini
Название: Fundamentals of Adaptive Signal Processing
ISBN: 3319028065 ISBN-13(EAN): 9783319028064
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Full of robust algorithms and evaluation tools suitable for a wide range of application scenarios, this self-contained text explains the fundamental concepts underlying adaptive signal processing and combines rigor with accessible mathematical language.

Автор: Hein Achim
Название: Processing of SAR Data / Fundamentals, Signal Processing, Interferometry
ISBN: 3540050434 ISBN-13(EAN): 9783540050438
Издательство: Springer
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Цена: 13060.00 р.
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Описание: Written for students, remote sensing specialists, researchers and SAR system designers, Processing of SAR Data shows how to produce quality SAR images. In particular, this practical reference presents new methods and algorithms concerning the interferometric processing of SAR data with emphasis on system and signal theory, namely how SAR imagery is formed, how interferometry SAR images are created, and a detailed mathematical description of different focussing algorithms. Starting with the processing basics and progressing to the final geo-coded SAR data product, the book describes the complete processing steps in detail. Algorithms based on the effects of side-looking geometry are developed to correct foreshortening, shadowing and layover.

Автор: Schreier
Название: Statistical Signal Processing of Complex-Valued Data
ISBN: 0521897726 ISBN-13(EAN): 9780521897723
Издательство: Cambridge Academ
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Цена: 14890.00 р.
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Описание: This first all-inclusive account of statistical signal processing for improper and noncircular complex signals provides the tools and algorithms needed to deal with such signals and shows the payoffs that can be gained. Coverage of fundamental theory is broad, and examples and real-world applications are included to illustrate the theory.

Автор: Robert G. Easterling
Название: Fundamentals of Statistical Experimental Design and Analysis
ISBN: 1118954637 ISBN-13(EAN): 9781118954638
Издательство: Wiley
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Цена: 9654.00 р.
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Описание: Professionals in all areas business; government; the physical, life, and social sciences; engineering; medicine, etc. benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for.