Applied Signal And Image Processing
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Applied Signal And Image Processing
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Author : Rami Qahwaji
language : en
Publisher: IGI Global
Release Date : 2011
Applied Signal And Image Processing written by Rami Qahwaji and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
Image and signal processing techniques are receiving increasing interest because of their numerous real-world applications. Data is now available in different forms, different wavelengths, and even in different dimensions, creating the need for novel multidisciplinary solutions for automated data processing and analysis. Applied Signal and Image Processing: Multidisciplinary Advancements highlights the growing multidisciplinary nature of signal and image processing by focusing on emerging applications and recent advances in well-established fields. This book covers state-or-the-art applications in both signal and image processing, which include optical communication and sensing, wireless communication management, face recognition and facial imaging, solar imaging and feature detection, fractal analysis, and video processing.
Signal And Image Processing In Navigational Systems
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Author : Vyacheslav Tuzlukov
language : en
Publisher: CRC Press
Release Date : 2004-11-29
Signal And Image Processing In Navigational Systems written by Vyacheslav Tuzlukov and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-29 with Technology & Engineering categories.
Classical and modern theories have given us a degree of noise immunity by defining the sufficient statistic of the mean of the likelihood function. The generalized theory moves beyond these limitations to determine the jointly sufficient statistics of the mean and variance of the likelihood function. Signal and Image Processing in Navigational Systems introduces us to the generalized approach, and then delves rigorously into the theory and practical applications of this approach. This volume represents the most in-depth discussion of the generalized approach to date, providing many examples and computer models to demonstrate how this approach raises the upper limits of noise immunity for navigation systems, leading to better detection performances. This book is vital for signal and image processing experts, radar, communications, acoustics, and navigational systems designers, as well as professionals in the fields of statistical pattern recognition, biomedicine, astronomy, and robotics who wish to extend the boundaries of noise immunity and improve qualitative performance of their systems.
Signal And Image Processing In Navigational Systems
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Author : Vyacheslav Tuzlukov
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Signal And Image Processing In Navigational Systems written by Vyacheslav Tuzlukov and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
Classical and modern theories have given us a degree of noise immunity by defining the sufficient statistic of the mean of the likelihood function. The generalized theory moves beyond these limitations to determine the jointly sufficient statistics of the mean and variance of the likelihood function. Signal and Image Processing in Navigational Systems introduces us to the generalized approach, and then delves rigorously into the theory and practical applications of this approach. This volume represents the most in-depth discussion of the generalized approach to date, providing many examples and computer models to demonstrate how this approach raises the upper limits of noise immunity for navigation systems, leading to better detection performances. This book is vital for signal and image processing experts, radar, communications, acoustics, and navigational systems designers, as well as professionals in the fields of statistical pattern recognition, biomedicine, astronomy, and robotics who wish to extend the boundaries of noise immunity and improve qualitative performance of their systems.
Recent Advances In Applied Signals Systems And Image Processing
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Author : Dimitrios A. Karras
language : en
Publisher: Springer
Release Date : 2010-11-16
Recent Advances In Applied Signals Systems And Image Processing written by Dimitrios A. Karras and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-16 with Technology & Engineering categories.
Recent Advances in Applied Signals, Systems and Image Processing focuses on adaptive filtering, while with respect to Imaging Systems the emphasis is put on both, low level image formation techniques and high level machine vision / multimedia content processing methodologies and systems. Finally, special care is given to analyze multimedia coding and several technologies related to multimedia content and communications. Although it has been originally based on integrating extended versions and carefully rewritten as well as updated keynote lectures of the IWSSIP 2005 workshop on Signal, Systems and Image Processing it finally attempts to offer a unified view of some of the most prominent methodologies in applied signal, image and multimedia systems analysis. Recent Advances in Applied Signals, Systems and Image Processing will be particularly useful for graduate students, researchers and practitioners in the above engineering fields.
Machine Learning Algorithms For Signal And Image Processing
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Author : Deepika Ghai
language : en
Publisher: John Wiley & Sons
Release Date : 2022-12-08
Machine Learning Algorithms For Signal And Image Processing written by Deepika Ghai and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-08 with Technology & Engineering categories.
Machine Learning Algorithms for Signal and Image Processing Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.
Nonlinear Signal And Image Processing
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Author : Kenneth E. Barner
language : en
Publisher: CRC Press
Release Date : 2003-11-24
Nonlinear Signal And Image Processing written by Kenneth E. Barner and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-24 with Technology & Engineering categories.
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 nonlinear theory and methods and explores an array of modern signal and image processing applications. The first several chapters focus on nonlinear signal processing theory, targeting three critical areas: filter analysis, nonlinear filter class design, and signal analysis. The remaining chapters explore nonlinear approaches across the broad spectrum of applications with signal processing components, from data traffic modeling and image enhancement to cutting edge applications in genomics. All of the chapters were contributed by well-known theorists and application-driven researchers who explore current and emerging nonlinear methods from their theoretical background and practical algorithms through the potential of these methods for solving important open questions. Nonlinear Signal and Image Processing: Theory, Methods, and Applications thus provides a singular opportunity to build a strong, fundamental understanding of nonlinear theory and methods and a foundation upon which to approach many of today's most interesting and challenging signal processing problems.
Advanced Signal Processing Handbook
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Author : Stergios Stergiopoulos
language : en
Publisher: CRC Press
Release Date : 2000-12-21
Advanced Signal Processing Handbook written by Stergios Stergiopoulos and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-12-21 with Technology & Engineering categories.
Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance, however, they lack the robustness of conventional algorithms. The chall
Advances In Multimedia Information Processing Pcm
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Author :
language : en
Publisher:
Release Date : 2005
Advances In Multimedia Information Processing Pcm written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Multimedia systems categories.
Signal And Image Processing For Remote Sensing Second Edition
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Author : C.H. Chen
language : en
Publisher: CRC Press
Release Date : 2012-02-22
Signal And Image Processing For Remote Sensing Second Edition written by C.H. Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-22 with Technology & Engineering categories.
Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results, making the book accessible to a broad audience. This second edition reflects the considerable advances that have occurred in the field, with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing, empirical mode decomposition, and sparse representation, as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing. The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor, software, and hardware technologies. Written for industrial and academic researchers and graduate students alike, this book helps readers connect the "dots" in image and signal processing. New in This Edition The second edition includes four chapters from the first edition, plus 23 new or entirely rewritten chapters, and 190 new figures. New topics covered include: Compressive sensing The mixed pixel problem with hyperspectral images Hyperspectral image (HSI) target detection and classification based on sparse representation An ISAR technique for refocusing moving targets in SAR images Empirical mode decomposition for signal processing Feature extraction for classification of remote sensing signals and images Active learning methods in classification of remote sensing images Signal subspace identification of hyperspectral data Wavelet-based multi/hyperspectral image restoration and fusion The second edition is not intended to replace the first edition entirely and readers are encouraged to read both editions of the book for a more complete picture of signal and image processing in remote sensing. See Signal and Image Processing for Remote Sensing (CRC Press 2006).
Digital Color Imaging Handbook
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Author : Guarav Sharma
language : en
Publisher:
Release Date : 2002
Digital Color Imaging Handbook written by Guarav Sharma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Image processing categories.