Classical Signal Processing and Non-Classical Signal Processing
Classical Signal Processing and Non-Classical Signal Processing

Author: Attaphongse Taparugssanagorn

Publisher: Cambridge Scholars Publishing

Published: 2023-08-02

Total Pages: 229

ISBN-13: 1527528650

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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.

Quantum Social Science
Quantum Social Science

Author: Emmanuel Haven

Publisher: Cambridge University Press

Published: 2013-01-17

Total Pages: 305

ISBN-13: 1107012821

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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.

Digital Signal Filtering, Analysis and Restoration
Digital Signal Filtering, Analysis and Restoration

Author: Jiří Jan

Publisher: IET

Published: 2000

Total Pages: 430

ISBN-13: 9780852967607

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In the belief that every engineer and scientist working with signals or data should have a knowledge of them, Jan (electrical engineering and computer science, Technical U. of Brno, Czech Republic) explains some of the theoretical concepts that underlie the methods now in common use to process and analyze signals and data. He examines such topics as classical digital filtering, averaging methods to improve the signal-to-noise ratio of repetitive signals, correlation and spectral analysis, methods to estimate and define unknown signals, non-linear processing and neural networks, and multidimensional signals and data. The Czech original Cislicova filtrace, analyza a resaurace signalu was published by Vutium Press, Brno, in 1997. c. Book News Inc.

Signal Processing, Image Processing and Pattern Recognition
Signal Processing, Image Processing and Pattern Recognition

Author: Tai-hoon Kim

Publisher: Springer

Published: 2011-12-02

Total Pages: 460

ISBN-13: 3642271839

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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.

Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing
Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing

Author: Adel Al-Jumaily

Publisher: CRC Press

Published: 2024-02-29

Total Pages: 502

ISBN-13: 100383812X

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This book contains up-to-date noninvasive monitoring and diagnosing systems closely developed by a set of scientists, engineers, and physicians. The chapters are the results of different biomedical projects and theoretical studies that were coupled by simulations and real-world data. Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing provides a multifaceted view of various biomedical and clinical approaches to health monitoring systems. The authors introduce advanced signal- and image-processing techniques as well as other noninvasive monitoring and diagnostic systems such as inertial sensors in wearable devices and novel algorithm-based hybrid learning systems for biosignal processing. The book includes a discussion of designing electronic circuits and systems for biomedical applications and analyzes several issues related to real-world data and how they relate to health technology including ECG signal monitoring and processing in the operating room. The authors also include detailed discussions of different systems for monitoring various conditions and diseases including sleep apnea, skin cancer, deep vein thrombosis, and prosthesis controls. This book is intended for a wide range of readers including scientists, researchers, physicians, and electronics and biomedical engineers. It will cover the gap between theory and real life applications.

Quantum-Mechanical Signal Processing and Spectral Analysis
Quantum-Mechanical Signal Processing and Spectral Analysis

Author: Dzevad Belkic

Publisher: CRC Press

Published: 2019-08-22

Total Pages: 486

ISBN-13: 9781420033601

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Quantum-Mechanical Signal Processing and Spectral Analysis describes the novel application of quantum mechanical methods to signal processing across a range of interdisciplinary research fields. Conventionally, signal processing is viewed as an engineering discipline with its own specific scope, methods, concerns and priorities, not usually encompassing quantum mechanics. However, the dynamics of systems that generate time signals can be successfully described by the general principles and methods of quantum physics, especially within the Schroedinger framework. Most time signals that are measured experimentally are mathematically equivalent to quantum-mechanical auto-correlation functions built from the evolution operator and wavefunctions. This fact allows us to apply the rich conceptual strategies and mathematical apparatus of quantum mechanics to signal processing. Among the leading quantum-mechanical signal processing methods, this book emphasizes the role of Pade approximant and the Lanczos algorithm, highlighting the major benefits of their combination. These two methods are carefully incorporated within a unified framework of scattering and spectroscopy, developing an algorithmic power that can be exported to other disciplines. The novelty of the author's approach to key signal processing problems, the harmonic inversion and the moment problem, is in establishing the Pade approximant and Lanczos algorithm as entirely algerbraic spectral estimators. This is of paramount theoretical and practical importance, as now spectral analysis can be carried out from closed analytical expressions. This overrides the notorious mathematical ill-conditioning problems with round-off errors that plague inverse reconstructions in those fields that rely upon signal processing. Quantum-Mechanical Signal Processing and Spectral Analysis will be an invaluable resource for researchers involved in signal processing across a wide range of disciplines.

Signal Processing in Magnetic Resonance Spectroscopy with Biomedical Applications
Signal Processing in Magnetic Resonance Spectroscopy with Biomedical Applications

Author: Dzevad Belkic

Publisher: CRC Press

Published: 2010-01-29

Total Pages: 468

ISBN-13: 1439806454

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Uses the FPT to Solve the Quantification Problem in MRSAn invaluable tool in non-invasive clinical oncology diagnosticsAddressing the critical need in clinical oncology for robust and stable signal processing in magnetic resonance spectroscopy (MRS), Signal Processing in Magnetic Resonance Spectroscopy with Biomedical Applications explores cutting-

Signal Processing Noise
Signal Processing Noise

Author: Vyacheslav Tuzlukov

Publisher: CRC Press

Published: 2018-10-08

Total Pages: 688

ISBN-13: 1420041118

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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.

Classical, Semi-classical and Quantum Noise
Classical, Semi-classical and Quantum Noise

Author: Leon Cohen

Publisher: Springer Science & Business Media

Published: 2011-12-21

Total Pages: 302

ISBN-13: 1441966242

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David Middleton was a towering figure of 20th Century engineering and science and one of the founders of statistical communication theory. During the second World War, the young David Middleton, working with Van Fleck, devised the notion of the matched filter, which is the most basic method used for detecting signals in noise. Over the intervening six decades, the contributions of Middleton have become classics. This collection of essays by leading scientists, engineers and colleagues of David are in his honor and reflect the wide influence that he has had on many fields. Also included is the introduction by Middleton to his forthcoming book, which gives a wonderful view of the field of communication, its history and his own views on the field that he developed over the past 60 years. Focusing on classical noise modeling and applications, Classical, Semi-Classical and Quantum Noise includes coverage of statistical communication theory, non-stationary noise, molecular footprints, noise suppression, Quantum error correction, and other related topics.

Decoding Wireless Communications
Decoding Wireless Communications

Author: Attaphongse Taparugssanagorn

Publisher: Cambridge Scholars Publishing

Published: 2024-06-21

Total Pages: 288

ISBN-13: 1036407055

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Step into the captivating context of wireless technology with “Decoding Wireless Communications: Bridging Technology and Everyday Life.” Even if you are new to telecommunication engineering, this book makes the journey accessible and engaging. Through relatable analogies and insightful explanations, complex concepts become clear and relatable. Picture wireless networks as bustling cafes, and diversity techniques as the harmonious interplay of musicians in a band. Each chapter unfolds seamlessly, from combating interference with equalizers to navigating the multitasking marvels of Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM). Explore the boundaries of wireless capacity and glimpse the future of 5G, Artificial Intelligence (AI), and the Internet of Things (IoT). Whether you are a curious beginner or a seasoned professional, this book promises an enlightening journey. With its blend of practical insights and thought-provoking reflections, “Decoding Wireless Communications” is your indispensable guide to thriving in our interconnected world. Prepare to be inspired and equipped with the knowledge to decode the intricacies of wireless technology. Grab your copy now and set forth on a journey of discovery that seamlessly intertwines technology with the fabric of everyday life.