CRISP: Complex Radar Image and Signal Processing - Software and User`s Manual, August W. Rihaczek, Stephen J. Hershkowitz, Richar
Автор: Andrzej Cichocki Название: Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications ISBN: 0471607916 ISBN-13(EAN): 9780471607915 Издательство: Wiley Рейтинг: Цена: 152010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Blind Signal Processing (BSP) is one of the emerging areas in Signal Processing. This volume extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation, Independent, Principal, Minor Component Analysis, and Multichannel Blind Deconvolution (MBD) and Equalization.
Автор: Charbit, Maurice, Название: Digital Signal Processing (DSP) with Python Progra mming ISBN: 1786301261 ISBN-13(EAN): 9781786301260 Издательство: Wiley Рейтинг: Цена: 146730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing. , and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices.
Автор: Richards Mark A. Название: Fundamentals of Radar Signal Processing, Second Edition ISBN: 0071798323 ISBN-13(EAN): 9780071798327 Издательство: McGraw-Hill Рейтинг: Цена: 77780.00 T Наличие на складе: Поставка под заказ. Описание: This detailed guide clearly and concisely presents radar digital signal processing for both practicing engineers and engineering students.
Автор: Ian G. Cumming Frank H. Wong Название: Digital Signal Processing of Synthetic Aperture Radar Data: Algorithms and Implementation ISBN: 1580530583 ISBN-13(EAN): 9781580530583 Издательство: Artech House Рейтинг: Цена: 176170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Written from a signal processing point of view, this authoritative volume on digital processing of synthetic aperture radar data is geared toward professionals and students with a general electrical engineering background.
Автор: Alexander V. Totsky,Alexander A. Zelensky,Victor F Название: Bispectral Methods of Signal Processing: Applications in Radar, Telecommunications and Digital Image Restoration ISBN: 3110374560 ISBN-13(EAN): 9783110374568 Издательство: Walter de Gruyter Цена: 173490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: By studying applications in radar, telecommunications and digital image restoration, this monograph discusses signal processing techniques based on bispectral methods. Improved robustness against different forms of noise as well as preservation of phase information render this method a valuable alternative to common power-spectrum analysis used in radar object recognition, digital wireless communications, and jitter removal in images.
Автор: Alexander V. Totsky, Alexander A. Zelensky, Victor F. Kravchenko Название: Bispectral Methods of Signal Processing: Applications in Radar, Telecommunications and Digital Image Restoration ISBN: 3110368897 ISBN-13(EAN): 9783110368895 Издательство: Walter de Gruyter Цена: 247880.00 T Наличие на складе: Невозможна поставка. Описание: By studying applications in radar, telecommunications and digital image restoration, this monograph discusses signal processing techniques based on bispectral methods. Improved robustness against different forms of noise as well as preservation of phase information render this method a valuable alternative to common power-spectrum analysis used in radar object recognition, digital wireless communications, and jitter removal in images.
Автор: Kolekar Maheshkumar H., Kumar Vinod Название: Biomedical Signal and Image Processing in Patient Care ISBN: 1522528296 ISBN-13(EAN): 9781522528296 Издательство: Turpin Рейтинг: Цена: 243690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In healthcare systems, medical devices help physicians and specialists in diagnosis, prognosis, and therapeutics. As research shows, validation of medical devices is significantly optimized by accurate signal processing. Biomedical Signal and Image Processing in Patient Care is a pivotal reference source for progressive research on the latest development of applications and tools for healthcare systems. Featuring extensive coverage on a broad range of topics and perspectives such as telemedicine, human machine interfaces, and multimodal data fusion, this publication is ideally designed for academicians, researchers, students, and practitioners seeking current scholarly research on real-life technological inventions.
Автор: John Soldatos Название: Building Blocks for IoT Analytics: Internet-of-Things Analytics ISBN: 8793519036 ISBN-13(EAN): 9788793519039 Издательство: Taylor&Francis Рейтинг: Цена: 78590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents the main technology building blocks that comprise advanced Internet-of-Things (IoT) analytics systems. The book introduces IoT analytics as a special case of BigData analytics and accordingly presents leading edge technologies that can be deployed in order to successfully confront the main challenges of IoT analytics applications.
Автор: Haitham Hassanieh Название: The Sparse Fourier Transform ISBN: 1947487078 ISBN-13(EAN): 9781947487079 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 85730.00 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.
This book stems from a unique and highly effective approach in introducing signal processing, instrumentation, diagnostics, filtering, control, and system integration.
It presents the interactive industrial grade software testbed of mold oscillator that captures the mold motion distortion induced by coupling of the electro-hydraulic actuator nonlinearity with the resonance of the mold oscillator beam assembly. The testbed is then employed as a virtual lab to generate input-output data records that permit unraveling and refining complex behavior of the actual production system through merging dynamics, signal processing, instrumentation, and control into a coherent problem-solving package.
The material is presented in a visually rich, mathematically and graphically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the book fully brings out the excitement of going through the adventure of exploring and solving a mold oscillator distortion problem, while covering the key signal processing, diagnostics, instrumentation, modeling, control, and system integration concepts.
The approach presented in this book has been supported by two education advancement awards from the College of Engineering of the University of Illinois at Urbana-Champaign.
This book stems from a unique and highly effective approach in introducing signal processing, instrumentation, diagnostics, filtering, control, and system integration.
It presents the interactive industrial grade software testbed of mold oscillator that captures the mold motion distortion induced by coupling of the electro-hydraulic actuator nonlinearity with the resonance of the mold oscillator beam assembly. The testbed is then employed as a virtual lab to generate input-output data records that permit unraveling and refining complex behavior of the actual production system through merging dynamics, signal processing, instrumentation, and control into a coherent problem-solving package.
The material is presented in a visually rich, mathematically and graphically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the book fully brings out the excitement of going through the adventure of exploring and solving a mold oscillator distortion problem, while covering the key signal processing, diagnostics, instrumentation, modeling, control, and system integration concepts.
The approach presented in this book has been supported by two education advancement awards from the College of Engineering of the University of Illinois at Urbana-Champaign.
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.
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