Nonlinear Signal And Image Analysis
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Nonlinear Signal and Image Processing
Author | : Kenneth E. Barner,Gonzalo R. Arce |
Publsiher | : CRC Press |
Total Pages | : 560 |
Release | : 2003-11-24 |
Genre | : Technology & Engineering |
ISBN | : 9780203010419 |
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Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical. This book details recent advances in nonl
Nonlinear Signal and Image Analysis
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Author | : J. Robert Buchler,Henry E. Kandrup |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2006 |
Genre | : Electronic Book |
ISBN | : OCLC:757476529 |
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Advances in Nonlinear Signal and Image Processing
Author | : Stephen Marshall,Giovanni L. Sicuranza |
Publsiher | : Hindawi Publishing Corporation |
Total Pages | : 375 |
Release | : 2006 |
Genre | : Science |
ISBN | : 9789775945372 |
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Nonlinear Signal Processing
Author | : Gonzalo R. Arce |
Publsiher | : John Wiley & Sons |
Total Pages | : 483 |
Release | : 2005-01-03 |
Genre | : Science |
ISBN | : 9780471691846 |
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Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, processes. Notably, by concentrating on just two non-Gaussian models, a large set of tools is developed that encompass a large portion of the nonlinear signal processing tools proposed in the literature over the past several decades. Key features include: * Numerous problems at the end of each chapter to aid development and understanding * Examples and case studies provided throughout the book in a wide range of applications bring the text to life and place the theory into context * A set of 60+ MATLAB software m-files allowing the reader to quickly design and apply any of the nonlinear signal processing algorithms described in the book to an application of interest is available on the accompanying FTP site.
Nonlinear Image Processing
Author | : Sanjit Mitra,Giovanni Sicuranza |
Publsiher | : Academic Press |
Total Pages | : 480 |
Release | : 2001 |
Genre | : Computers |
ISBN | : 0125004516 |
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This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essential for defining non-linear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial automation challenges.
Oscillating Patterns in Image Processing and Nonlinear Evolution Equations
Author | : Yves Meyer |
Publsiher | : American Mathematical Soc. |
Total Pages | : 138 |
Release | : 2001 |
Genre | : Computers |
ISBN | : 0821829203 |
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Image compression, the Navier-Stokes equations, and detection of gravitational waves are three seemingly unrelated scientific problems that, remarkably, can be studied from one perspective. The notion that unifies the three problems is that of ``oscillating patterns'', which are present in many natural images, help to explain nonlinear equations, and are pivotal in studying chirps and frequency-modulated signals. The first chapter of this book considers image processing, moreprecisely algorithms of image compression and denoising. This research is motivated in particular by the new standard for compression of still images known as JPEG-2000. The second chapter has new results on the Navier-Stokes and other nonlinear evolution equations. Frequency-modulated signals and theiruse in the detection of gravitational waves are covered in the final chapter. In the book, the author describes both what the oscillating patterns are and the mathematics necessary for their analysis. It turns out that this mathematics involves new properties of various Besov-type function spaces and leads to many deep results, including new generalizations of famous Gagliardo-Nirenberg and Poincare inequalities. This book is based on the ``Dean Jacqueline B. Lewis Memorial Lectures'' given bythe author at Rutgers University. It can be used either as a textbook in studying applications of wavelets to image processing or as a supplementary resource for studying nonlinear evolution equations or frequency-modulated signals. Most of the material in the book did not appear previously inmonograph literature.
Wireless Networking Radar Sensor Array Processing and Nonlinear Signal Processing
Author | : Vijay Madisetti |
Publsiher | : CRC Press |
Total Pages | : 874 |
Release | : 2018-09-03 |
Genre | : Technology & Engineering |
ISBN | : 9781420046052 |
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Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and Internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications. This volume, Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing, provides complete coverage of the foundations of signal processing related to wireless, radar, space–time coding, and mobile communications, together with associated applications to networking, storage, and communications.
Machine Learning Methods for Signal Image and Speech Processing
Author | : M.A. Jabbar,MVV Prasad Kantipudi,Sheng-Lung Peng,Mamun Bin Ibne Reaz,Ana Maria Madureira |
Publsiher | : CRC Press |
Total Pages | : 257 |
Release | : 2022-09-01 |
Genre | : Computers |
ISBN | : 9781000794748 |
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The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering). This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains.