Classical Signal Processing And Non Classical Signal Processing
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Classical Signal Processing And Non Classical Signal Processing
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Author : Attaphongse Taparugssanagorn
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2023-08-02
Classical Signal Processing And Non Classical Signal Processing written by Attaphongse Taparugssanagorn and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-02 with Technology & Engineering categories.
Expertly unraveling the mysteries and allure of signals, this book explores their profound impact on modern life. From classical techniques to cutting-edge advancements, this comprehensive exploration delves into fundamental concepts such as amplitude, frequency, and phase. With meticulous research and insightful analysis, the author guides readers through topics like Fourier analysis, sampling, quantization, and signal filtering. The book highlights the dynamic relationship between time and frequency domains, statistical signal processing techniques, and the fascinating realm of non-classical signal processing, including wavelet transforms and compressed sensing, and explores diverse applications in audio, speech, image and video processing, biomedical analysis, communications, and sensor fusion. Highlighting emerging trends and future directions, the book illuminates the challenges, opportunities, and potential breakthroughs in signal processing research.
Bridging Classical And Non Classical Signal Processing Approaches For Enhanced Communication Systems
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Author : Attaphongse Taparugssanagorn
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-05-23
Bridging Classical And Non Classical Signal Processing Approaches For Enhanced Communication Systems written by Attaphongse Taparugssanagorn and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Technology & Engineering categories.
Explore the fusion of classical and cutting-edge signal processing in this book, which provides a comprehensive exploration of foundational techniques such as Fourier Transform, signal modulation, and noise reduction, while also introducing modern advancements like wavelet transforms, compressive sensing, and machine learning. By integrating these approaches, the book highlights hybrid systems that boost the performance, reliability, and efficiency of today’s communication networks. It bridges the gap between traditional and modern methods through comparative analyses, case studies, and real-world applications across wireless, Internet of Things, satellite, and RADAR systems. Whether you are a researcher or practitioner, this book serves as a vital resource, offering insights into the future of communication networks powered by hybrid signal processing.
Quantum Social Science
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Author : Emmanuel Haven
language : en
Publisher: Cambridge University Press
Release Date : 2013-01-17
Quantum Social Science written by Emmanuel Haven and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-17 with Psychology categories.
Written by world experts in the foundations of quantum mechanics, this book shows how elementary quantum mechanical principles can be applied to social sciences problems. Aimed at economists and psychologists, as well as physicists, it explores the exciting field of quantum social science.
Signal Processing For Communications
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Author : Paolo Prandoni
language : en
Publisher: Collection Savoir suisse
Release Date : 2008-06-17
Signal Processing For Communications written by Paolo Prandoni and has been published by Collection Savoir suisse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-17 with Signal processing categories.
With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The treatment is therefore less focused on the mathematics and more on the conceptual aspects, the idea being to allow the readers to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics. The book remains an engineering text, with the goal of helping students solve real-world problems. In this vein, the last chapter pulls together the individual topics as discussed throughout the book into an in-depth look at the development of an end-to-end communication system, namely, a modem for communicating digital information over an analog channel.
Signal Processing Image Processing And Pattern Recognition
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Author : Tai-hoon Kim
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-29
Signal Processing Image Processing And Pattern Recognition written by Tai-hoon Kim and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-29 with Computers categories.
This book comprises selected papers of the International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2011, held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, in Conjunction with GDC 2011, Jeju Island, Korea, in December 2011. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of signal processing, image processing and pattern recognition.
Academic Press Library In Signal Processing
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Author : Mats Viberg
language : en
Publisher: Academic Press
Release Date : 2013-08-31
Academic Press Library In Signal Processing written by Mats Viberg and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-31 with Technology & Engineering categories.
This third volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in array and statistical signal processing. With this reference source you will: - Quickly grasp a new area of research - Understand the underlying principles of a topic and its application - Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved - Quick tutorial reviews of important and emerging topics of research in array and statistical signal processing - Presents core principles and shows their application - Reference content on core principles, technologies, algorithms and applications - Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge - Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic
Signal Processing Noise
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Author : Vyacheslav Tuzlukov
language : en
Publisher: CRC Press
Release Date : 2018-10-08
Signal Processing Noise 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 2018-10-08 with Technology & Engineering categories.
Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing. Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author's own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observations obtained by computer modelling and experiments. Tables and illustrations clearly show the superiority of the generalized approach over both classical and modern approaches to signal processing noise. Addressing a fundamental problem in complex signal processing systems, this book offers not only theoretical development, but practical recommendations for raising noise immunity in a wide range of applications.
Advances In Signal Processing
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Author : Margarita Favorskaya
language : en
Publisher: Springer Nature
Release Date : 2020-03-19
Advances In Signal Processing written by Margarita Favorskaya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-19 with Technology & Engineering categories.
This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.
Bayesian Signal Processing
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Author : James V. Candy
language : en
Publisher: John Wiley & Sons
Release Date : 2016-06-20
Bayesian Signal Processing written by James V. Candy 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 2016-06-20 with Technology & Engineering categories.
Presents the Bayesian approach to statistical signal processing for a variety of useful model sets This book aims to give readers a unified Bayesian treatment starting from the basics (Baye’s rule) to the more advanced (Monte Carlo sampling), evolving to the next-generation model-based techniques (sequential Monte Carlo sampling). This next edition incorporates a new chapter on “Sequential Bayesian Detection,” a new section on “Ensemble Kalman Filters” as well as an expansion of Case Studies that detail Bayesian solutions for a variety of applications. These studies illustrate Bayesian approaches to real-world problems incorporating detailed particle filter designs, adaptive particle filters and sequential Bayesian detectors. In addition to these major developments a variety of sections are expanded to “fill-in-the gaps” of the first edition. Here metrics for particle filter (PF) designs with emphasis on classical “sanity testing” lead to ensemble techniques as a basic requirement for performance analysis. The expansion of information theory metrics and their application to PF designs is fully developed and applied. These expansions of the book have been updated to provide a more cohesive discussion of Bayesian processing with examples and applications enabling the comprehension of alternative approaches to solving estimation/detection problems. The second edition of Bayesian Signal Processing features: “Classical” Kalman filtering for linear, linearized, and nonlinear systems; “modern” unscented and ensemble Kalman filters: and the “next-generation” Bayesian particle filters Sequential Bayesian detection techniques incorporating model-based schemes for a variety of real-world problems Practical Bayesian processor designs including comprehensive methods of performance analysis ranging from simple sanity testing and ensemble techniques to sophisticated information metrics New case studies on adaptive particle filtering and sequential Bayesian detection are covered detailing more Bayesian approaches to applied problem solving MATLAB® notes at the end of each chapter help readers solve complex problems using readily available software commands and point out other software packages available Problem sets included to test readers’ knowledge and help them put their new skills into practice Bayesian Signal Processing, Second Edition is written for all students, scientists, and engineers who investigate and apply signal processing to their everyday problems.
Fundamentals Of Signal Processing In Metric Spaces With Lattice Properties
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Author : Andrey Popoff
language : en
Publisher: CRC Press
Release Date : 2017-11-03
Fundamentals Of Signal Processing In Metric Spaces With Lattice Properties written by Andrey Popoff and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-03 with Mathematics categories.
Exploring the interrelation between information theory and signal processing theory, the book contains a new algebraic approach to signal processing theory. Readers will learn this new approach to constructing the unified mathematical fundamentals of both information theory and signal processing theory in addition to new methods of evaluating quality indices of signal processing. The book discusses the methodology of synthesis and analysis of signal processing algorithms providing qualitative increase of signal processing efficiency under parametric and nonparametric prior uncertainty conditions. Examples are included throughout the book to further emphasize new material.