Автор: Hassanieh Phd Loubna Название: Where Will My Heart Beat? ISBN: 1480870021 ISBN-13(EAN): 9781480870024 Издательство: Неизвестно Цена: 2895.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Born into a prominent and affluent family, Adel Jacob eventually learns that wealth has no bearing on happiness. At age seventeen, he falls prey to his brother's animosity and becomes forever handicapped. Betrayed by his parents' shortcomings, Adel realizes he must leave home, abandoning his innocence and with it, his first love, Mona.
Twenty-five years later, a painful yearning brings Adel back to his hometown where things are no longer the same. As he discovers how purposeful his journey will be, Adel's insights slowly unravel realms of wonderment. When his path unexpectedly crosses with Mona's again, their adoration for each other brings them back into each other's arms in a circuitous way as Adel realizes his love for her transcends time and place and resides beyond the horizons of his consciousness. Although their second encounter is shorter than their first, Mona manages to crack open windows to his past and reveal demonic realities. Distraught about failing her twice, Adel must now strive to redeem himself and hold onto her memory until the end.
In this poignant story of good and evil and loss and redemption, a man returns to his past where he reconnects with a former love and searches his soul for intuitive guidance.
Автор: Hassanieh Haitham Название: The Sparse Fourier Transform ISBN: 1947487043 ISBN-13(EAN): 9781947487048 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 10352.00 р. 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.
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