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The Sparse Fourier Transform, Haitham Hassanieh


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Склад Америка: 223 шт.  
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Автор: Haitham Hassanieh
Название:  The Sparse Fourier Transform
ISBN: 9781947487079
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 1947487078
Обложка/Формат: Hardcover
Страницы: 279
Вес: 0.69 кг.
Дата издания: 28.02.2018
Язык: English
Размер: 235 x 191 x 18
Ключевые слова: Computer programming / software development,Algorithms & data structures,Computer science,Signal processing, COMPUTERS / Computer Science,COMPUTERS / Programming / General,COMPUTERS / Programming / Algorithms
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Поставляется из: Англии
Описание: The Fourier transform is one of the most fundamental tools for computing the frequency representation of signals. It plays a central role in signal processing, communications, audio and video compression, medical imaging, genomics, astronomy, as well as many other areas. Because of its widespread use, fast algorithms for computing the Fourier transform can benefit a large number of applications. The fastest algorithm for computing the Fourier transform is the Fast Fourier Transform (FFT), which runs in near-linear time making it an indispensable tool for many applications. However, today, the runtime of the FFT algorithm is no longer fast enough especially for big data problems where each dataset can be few terabytes. Hence, faster algorithms that run in sublinear time, i.e., do not even sample all the data points, have become necessary.This book addresses the above problem by developing the Sparse Fourier Transform algorithms and building practical systems that use these algorithms to solve key problems in six different applications: wireless networks; mobile systems; computer graphics; medical imaging; biochemistry; and digital circuits.This is a revised version of the thesis that won the 2016 ACM Doctoral Dissertation Award.
Дополнительное описание: Algorithms and data structures|Computer science|Digital signal processing (DSP)|Computer programming / software engineering


The Sparse Fourier Transform

Автор: Hassanieh Haitham
Название: The Sparse Fourier Transform
ISBN: 1947487043 ISBN-13(EAN): 9781947487048
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 69010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Fourier transform is one of the most fundamental tools for computing the frequency representation of signals. It plays a central role in signal processing, communications, audio and video compression, medical imaging, genomics, astronomy, as well as many other areas. Because of its widespread use, fast algorithms for computing the Fourier transform can benefit a large number of applications. The fastest algorithm for computing the Fourier transform is the Fast Fourier Transform (FFT), which runs in near-linear time making it an indispensable tool for many applications. However, today, the runtime of the FFT algorithm is no longer fast enough especially for big data problems where each dataset can be few terabytes. Hence, faster algorithms that run in sublinear time, i.e., do not even sample all the data points, have become necessary.This book addresses the above problem by developing the Sparse Fourier Transform algorithms and building practical systems that use these algorithms to solve key problems in six different applications: wireless networks; mobile systems; computer graphics; medical imaging; biochemistry; and digital circuits.This is a revised version of the thesis that won the 2016 ACM Doctoral Dissertation Award.

Sparse Representations for Radar with MATLAB Examples

Автор: Peter Knee
Название: Sparse Representations for Radar with MATLAB Examples
ISBN: 1627050345 ISBN-13(EAN): 9781627050340
Издательство: Mare Nostrum (Eurospan)
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Цена: 36030.00 T
Наличие на складе: Невозможна поставка.
Описание: Although the field of sparse representations is relatively new, research activities in academic and industrial research labs are already producing encouraging results. This book presents the basic mathematical concepts along with a number of useful MATLAB (R) examples to emphasize the practical implementations both inside and outside the radar field.

Sparse grids and applications - stuttgart 2014

Название: Sparse grids and applications - stuttgart 2014
ISBN: 3319282603 ISBN-13(EAN): 9783319282602
Издательство: Springer
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Цена: 93160.00 T
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Описание: Where classical numerical discretization schemes fail in more than three or four dimensions, sparse grids, in their different guises, are frequently the method of choice, be it spatially adaptive in the hierarchical basis or via the dimensionally adaptive combination technique.

Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations

Автор: Karim Helwani
Название: Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations
ISBN: 3319089536 ISBN-13(EAN): 9783319089539
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book treats the topic of extending the adaptive filtering theory in the context of massive multichannel systems by taking into account a priori knowledge of the underlying system or signal.

Algorithms for Discrete Fourier Transform and Convolution

Автор: Richard Tolimieri; Myoung An; Chao Lu
Название: Algorithms for Discrete Fourier Transform and Convolution
ISBN: 1441931155 ISBN-13(EAN): 9781441931153
Издательство: Springer
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Цена: 130590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines.

Fourier Transform Theory in Signal Processing

Автор: Pilato George
Название: Fourier Transform Theory in Signal Processing
ISBN: 1632382032 ISBN-13(EAN): 9781632382030
Издательство: Неизвестно
Цена: 166290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Discrete Cosine Transform, Second Edition

Автор: Humberto Ochoa-Dominguez, K. R. Rao
Название: Discrete Cosine Transform, Second Edition
ISBN: 1138304727 ISBN-13(EAN): 9781138304727
Издательство: Taylor&Francis
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Цена: 137810.00 T
Наличие на складе: Невозможна поставка.
Описание: Many new DCT-like transforms have been proposed since the first edition of this book. For example, the integer DCT that yields integer transform coefficients, the directional DCT to take advantage of several directions of the image and the steerable DCT.

The Burrows-Wheeler Transform:

Автор: Donald Adjeroh; Timothy Bell; Amar Mukherjee
Название: The Burrows-Wheeler Transform:
ISBN: 1441946284 ISBN-13(EAN): 9781441946287
Издательство: Springer
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Цена: 153720.00 T
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Описание: Here is a reference for seasoned professionals and researchers in the area that also provides a gentle introduction, making it accessible to senior undergraduate students or first-year graduate students embarking upon research in areas related to the BWT.

Efficient Algorithms for Discrete Wavelet Transform

Автор: Shukla KK
Название: Efficient Algorithms for Discrete Wavelet Transform
ISBN: 1447149408 ISBN-13(EAN): 9781447149408
Издательство: Springer
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Цена: 37260.00 T
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Описание: Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has received considerable attention in signal/image processing. In the multistage DWT, coefficients are calculated recursively, and in addition to the wavelet decomposition stage, extra space is required to store the intermediate coefficients.

Algorithms for Discrete Fourier Transform and Convolution

Автор: Richard Tolimieri; Myoung An; Chao Lu
Название: Algorithms for Discrete Fourier Transform and Convolution
ISBN: 0387982612 ISBN-13(EAN): 9780387982618
Издательство: Springer
Рейтинг:
Цена: 156720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines.


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