Nonlinear Signal and Image Processing

Nonlinear Signal and Image Processing PDF Author: Kenneth E. Barner
Publisher: CRC Press
ISBN: 0203010418
Category : Technology & Engineering
Languages : en
Pages : 560

Book Description
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

Advances in Nonlinear Signal and Image Processing

Advances in Nonlinear Signal and Image Processing PDF Author: Stephen Marshall
Publisher: Hindawi Publishing Corporation
ISBN: 9775945372
Category : Science
Languages : en
Pages : 375

Book Description


Nonlinear Image Processing

Nonlinear Image Processing PDF Author: Sanjit Mitra
Publisher: Academic Press
ISBN: 9780125004510
Category : Computers
Languages : en
Pages : 480

Book Description
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.

Nonlinear Signal Processing

Nonlinear Signal Processing PDF Author: Gonzalo R. Arce
Publisher: John Wiley & Sons
ISBN: 0471691844
Category : Science
Languages : en
Pages : 483

Book Description
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.

Oscillating Patterns in Image Processing and Nonlinear Evolution Equations

Oscillating Patterns in Image Processing and Nonlinear Evolution Equations PDF Author: Yves Meyer
Publisher: American Mathematical Soc.
ISBN: 9780821829202
Category : Computers
Languages : en
Pages : 138

Book Description
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.

Machine Learning Methods for Signal, Image and Speech Processing

Machine Learning Methods for Signal, Image and Speech Processing PDF Author: M.A. Jabbar
Publisher: CRC Press
ISBN: 1000794741
Category : Computers
Languages : en
Pages : 257

Book Description
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.

An Introduction to Nonlinear Image Processing

An Introduction to Nonlinear Image Processing PDF Author: Edward R. Dougherty
Publisher: SPIE Press
ISBN: 9780819415608
Category : Technology & Engineering
Languages : en
Pages : 200

Book Description
From a strict semantic point of view, nonlinear image processing encompasses all image processing that is not based on linear operators; however, from a practical, evolutionary point of view, the name itself is usually associated with the study of nonlinear filters, mainly the deterministic and nondeterministic analysis and design of logic-based operators. This Tutorial Text volume explores logic-based operators with emphasis on representation, design, and statistical optimization of nonlinear filters.

Nonlinear Signal and Image Analysis

Nonlinear Signal and Image Analysis PDF Author: J. Robert Buchler
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 256

Book Description
Compiled from papers presented at the 11th Annual Florida Workshop in Nonlinear Astronomy and Physics - Nonlinear Signal and Image Analysis, this work focuses on recent developments in time series and image processing techniques, as well as the physics that can be extracted using these techniques. It offers alternatives to conventional linear techniques, especially where chaos plays a role, and covers wavelet analysis, non-linear time-series analysis, neural networks, and spatial structures.

Biomedical Signal and Image Processing

Biomedical Signal and Image Processing PDF Author: Kayvan Najarian
Publisher: CRC Press
ISBN: 1439870349
Category : Medical
Languages : en
Pages : 411

Book Description
Written for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this edition include the technical updating of each chapter along with the addition of many more examples, the majority of which are MATLAB based.

Adaptive Blind Signal and Image Processing

Adaptive Blind Signal and Image Processing PDF Author: Andrzej Cichocki
Publisher: John Wiley & Sons
ISBN: 9780471607915
Category : Science
Languages : en
Pages : 596

Book Description
Im Mittelpunkt dieses modernen und spezialisierten Bandes stehen adaptive Strukturen und unüberwachte Lernalgorithmen, besonders im Hinblick auf effektive Computersimulationsprogramme. Anschauliche Illustrationen und viele Beispiele sowie eine interaktive CD-ROM ergänzen den Text.