Developments And Applications For Ecg Signal Processing

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Developments and Applications for ECG Signal Processing

Developments and Applications for ECG Signal Processing
  • Author : Joao Paulo do Vale Madeiro,Paulo Cesar Cortez,José Maria Da Silva Monteiro Filho,Angelo Roncalli Alencar Brayner
  • Publisher : Academic Press
  • Release Date : 2018-11-29
  • Total pages : 210
  • ISBN : 9780128140369
  • File Size : 29,6 Mb
  • Total Download : 310
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Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long-term signals. Chapters cover classical and modern features surrounding f ECG signals, ECG signal acquisition systems, techniques for noise suppression for ECG signal processing, a delineation of the QRS complex, mathematical modelling of T- and P-waves, and the automatic classification of heartbeats. Gives comprehensive coverage of ECG signal processing Presents development and parametrization techniques for ECG signal acquisition systems Analyzes and compares distortions caused by different digital filtering techniques for noise suppression applied over the ECG signal Describes how to identify if a digitized ECG signal presents irreversible distortion through analysis of its frequency components prior to, and after, filtering Considers how to enhance QRS complexes and differentiate these from artefacts, noise, and other characteristic waves under different scenarios

Developments and Applications for ECG Signal Processing

Developments and Applications for ECG Signal Processing
  • Author : Joao Paulo do Vale Madeiro,Paulo Cesar Cortez,José Maria Da Silva Monteiro Filho,Angelo Roncalli Alencar Brayner
  • Publisher : Academic Press
  • Release Date : 2018-12-19
  • Total pages : 210
  • ISBN : 0128140356
  • File Size : 46,7 Mb
  • Total Download : 979
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Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long-term signals. Chapters cover classical and modern features surrounding f ECG signals, ECG signal acquisition systems, techniques for noise suppression for ECG signal processing, a delineation of the QRS complex, mathematical modelling of T- and P-waves, and the automatic classification of heartbeats. Gives comprehensive coverage of ECG signal processing Presents development and parametrization techniques for ECG signal acquisition systems Analyzes and compares distortions caused by different digital filtering techniques for noise suppression applied over the ECG signal Describes how to identify if a digitized ECG signal presents irreversible distortion through analysis of its frequency components prior to, and after, filtering Considers how to enhance QRS complexes and differentiate these from artefacts, noise, and other characteristic waves under different scenarios

ECG Signal Processing, Classification and Interpretation

ECG Signal Processing, Classification and Interpretation
  • Author : Adam Gacek,Witold Pedrycz
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-09-18
  • Total pages : 278
  • ISBN : 0857298682
  • File Size : 13,6 Mb
  • Total Download : 933
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The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; detailed schemes, exercises and more advanced problems.

Handbook of Research on Developments in E-Health and Telemedicine: Technological and Social Perspectives

Handbook of Research on Developments in E-Health and Telemedicine: Technological and Social Perspectives
  • Author : Cruz-Cunha, Maria Manuela,Tavares, Antonio J.,Simoes, Ricardo
  • Publisher : IGI Global
  • Release Date : 2009-12-31
  • Total pages : 1486
  • ISBN : 9781615206711
  • File Size : 53,7 Mb
  • Total Download : 725
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"This book provide a comprehensive coverage of the latest and most relevant knowledge, developments, solutions, and practical applications, related to e-Health, this new field of knowledge able to transform the way we live and deliver services, both from the technological and social perspectives"--Provided by publisher.

Biomedical Signal Processing

Biomedical Signal Processing
  • Author : Ganesh Naik
  • Publisher : Springer Nature
  • Release Date : 2019-11-12
  • Total pages : 432
  • ISBN : 9789811390975
  • File Size : 25,9 Mb
  • Total Download : 881
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This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.

Advances in Cardiac Signal Processing

Advances in Cardiac Signal Processing
  • Author : U. Rajendra Acharya
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-04-25
  • Total pages : 468
  • ISBN : 9783540366751
  • File Size : 24,7 Mb
  • Total Download : 309
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This book provides a comprehensive review of progress in the acquisition and extraction of electrocardiogram signals. The coverage is extensive, from a review of filtering techniques to measurement of heart rate variability, to aortic pressure measurement, to strategies for assessing contractile effort of the left ventricle and more. The book concludes by assessing the future of cardiac signal processing, leading to next generation research which directly impact cardiac health care.

Illumination of Artificial Intelligence in Cybersecurity and Forensics

Illumination of Artificial Intelligence in Cybersecurity and Forensics
  • Author : Sanjay Misra,Chamundeswari Arumugam
  • Publisher : Springer Nature
  • Release Date : 2022-02-08
  • Total pages : 378
  • ISBN : 9783030934538
  • File Size : 11,9 Mb
  • Total Download : 259
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This book covers a variety of topics that span from industry to academics: hybrid AI model for IDS in IoT, intelligent authentication framework for IoMT mobile devices for extracting bioelectrical signals, security audit in terms of vulnerability analysis to protect the electronic medical records in healthcare system using AI, classification using CNN a multi-face recognition attendance system with anti-spoofing capability, challenges in face morphing attack detection, a dimensionality reduction and feature-level fusion technique for morphing attack detection (MAD) systems, findings and discussion on AI-assisted forensics, challenges and open issues in the application of AI in forensics, a terrorist computational model that uses Baum–Welch optimization to improve the intelligence and predictive accuracy of the activities of criminal elements, a novel method for detecting security violations in IDSs, graphical-based city block distance algorithm method for E-payment systems, image encryption, and AI methods in ransomware mitigation and detection. It assists the reader in exploring new research areas, wherein AI can be applied to offer solutions through the contribution from researchers and academia.

Biomedical Signal Processing and Artificial Intelligence in Healthcare

Biomedical Signal Processing and Artificial Intelligence in Healthcare
  • Author : Walid A. Zgallai
  • Publisher : Academic Press
  • Release Date : 2020-07-29
  • Total pages : 268
  • ISBN : 9780128189474
  • File Size : 26,8 Mb
  • Total Download : 951
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Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and processed, including segmentation, classification, and detection. This book covers different aspects of signals, from the use of hardware and software, and making use of artificial intelligence in problem solving. Dr Zgallai’s book has up to date coverage where readers can find the latest information, easily explained, with clear examples and illustrations. The book includes examples on the application of signal and image processing employing artificial intelligence to Alzheimer, Parkinson, ADHD, autism, and sleep disorders, as well as ECG and EEG signals. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key ‘up-and-coming’ academics across the full subject area. The series serves a wide audience of university faculty, researchers and students, as well as industry practitioners. Coverage of the subject area and the latest advances and applications in biomedical signal processing and Artificial Intelligence. Contributions by recognized researchers and field leaders. On-line presentations, tutorials, application and algorithm examples.

The Stationary Bionic Wavelet Transform and Its Applications for ECG and Speech Processing

The Stationary Bionic Wavelet Transform and Its Applications for ECG and Speech Processing
  • Author : Talbi Mourad
  • Publisher : Springer Nature
  • Release Date : 2022
  • Total pages : 95
  • ISBN : 9783030934057
  • File Size : 54,6 Mb
  • Total Download : 595
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This book first details a proposed Stationary Bionic Wavelet Transform (SBWT) for use in speech processing. The author then details the proposed techniques based on SBWT. These techniques are relevant to speech enhancement, speech recognition, and ECG de-noising. The techniques are then evaluated by comparing them to a number of methods existing in literature. For evaluating the proposed techniques, results are applied to different speech and ECG signals and their performances are justified from the results obtained from using objective criterion such as SNR, SSNR, PSNR, PESQ , MAE, MSE and more. Describes and applies a proposed Stationary Bionic Wavelet Transform (SBWT) Discusses how speech enhancement, speech recognition, and ECG de-noising are aided by SBWTs Relevant to researchers, professionals, students, and academics in speech and ECG processing.

Frontier and Future Development of Information Technology in Medicine and Education

Frontier and Future Development of Information Technology in Medicine and Education
  • Author : Shaozi Li,Qun Jin,Xiaohong Jiang,James J. (Jong Hyuk) Park
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-12-05
  • Total pages : 3581
  • ISBN : 9789400776180
  • File Size : 29,9 Mb
  • Total Download : 211
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IT changes everyday’s life, especially in education and medicine. The goal of ITME 2013 is to further explore the theoretical and practical issues of IT in education and medicine. It also aims to foster new ideas and collaboration between researchers and practitioners.

Bioelectrical Signal Processing in Cardiac and Neurological Applications

Bioelectrical Signal Processing in Cardiac and Neurological Applications
  • Author : Leif Sörnmo,Pablo Laguna
  • Publisher : Academic Press
  • Release Date : 2005-06-15
  • Total pages : 690
  • ISBN : 9780124375529
  • File Size : 10,5 Mb
  • Total Download : 315
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The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications-the two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. Bioelectrical Signal Processing is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers. A problem-driven, interdisciplinary presentation of biomedical signal processing Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked potentials, EMG) Covers both classical and recent signal processing techniques Emphasis on model-based statistical signal processing Comprehensive exercises and illustrations Extensive bibliography

Advances in Science, Technology, Higher Education and Society in the Conceptual Age: STHESCA

Advances in Science, Technology, Higher Education and Society in the Conceptual Age: STHESCA
  • Author : Tadeusz Marek
  • Publisher : AHFE International (USA)
  • Release Date : 2020-07-19
  • Total pages : 324
  • ISBN : 9781495121104
  • File Size : 17,9 Mb
  • Total Download : 911
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This volume focuses on the advances in the Science, Technology, Higher Education, Society in the Conceptual Age, which are a critical aspect in the design of any technological system. The ideas and practical solutions described in the book are the outcome of dedicated research by academics and practitioners aiming to advance theory and practice in this dynamic and all-encompassing discipline. This book highlight new research in different fields for which the upcoming Conceptual Age is a common point. Leading researchers will continue to provide new ideas and guidance for those involved in creating contemporary and future conditions in the field of higher education, social sciences and new technologies. Research papers formed in various areas including psychology, management, life sciences, ergonomics and higher education issues.

Feature Engineering and Computational Intelligence in ECG Monitoring

Feature Engineering and Computational Intelligence in ECG Monitoring
  • Author : Chengyu Liu,Jianqing Li
  • Publisher : Springer Nature
  • Release Date : 2020-06-24
  • Total pages : 268
  • ISBN : 9789811538247
  • File Size : 24,7 Mb
  • Total Download : 170
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This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a “snapshot” of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.

Advances in Signal Processing and Intelligent Recognition Systems

Advances in Signal Processing and Intelligent Recognition Systems
  • Author : Sabu M. Thampi,Sanghamitra Bandyopadhyay,Sri Krishnan,Kuan-Ching Li,Sergey Mosin,Maode Ma
  • Publisher : Springer
  • Release Date : 2015-12-24
  • Total pages : 712
  • ISBN : 9783319286587
  • File Size : 27,9 Mb
  • Total Download : 125
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This Edited Volume contains a selection of refereed and revised papers originally presented at the second International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2015), December 16-19, 2015, Trivandrum, India. The program committee received 175 submissions. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 59 papers were finally selected. The papers offer stimulating insights into biometrics, digital watermarking, recognition systems, image and video processing, signal and speech processing, pattern recognition, machine learning and knowledge-based systems. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.

Leveraging Data Science for Global Health

Leveraging Data Science for Global Health
  • Author : Leo Anthony Celi,Maimuna S. Majumder,Patricia Ordóñez,Juan Sebastian Osorio,Kenneth E. Paik,Melek Somai
  • Publisher : Springer Nature
  • Release Date : 2020-07-31
  • Total pages : 475
  • ISBN : 9783030479947
  • File Size : 30,6 Mb
  • Total Download : 387
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This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.

Advances in Processing and Pattern Analysis of Biological Signals

Advances in Processing and Pattern Analysis of Biological Signals
  • Author : I. Gath,G.F. Inbar
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-06-29
  • Total pages : 424
  • ISBN : 9781475790986
  • File Size : 41,9 Mb
  • Total Download : 169
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In recent years there has been rapid progress in the development of signal processing in general, and more specifically in the application of signal processing and pattern analysis to biological signals. Techniques, such as parametric and nonparametric spectral estimation, higher order spectral estimation, time-frequency methods, wavelet transform, and identifi cation of nonlinear systems using chaos theory, have been successfully used to elucidate basic mechanisms of physiological and mental processes. Similarly, biological signals recorded during daily medical practice for clinical diagnostic procedures, such as electroen cephalograms (EEG), evoked potentials (EP), electromyograms (EMG) and electrocardio grams (ECG), have greatly benefitted from advances in signal processing. In order to update researchers, graduate students, and clinicians, on the latest developments in the field, an International Symposium on Processing and Pattern Analysis of Biological Signals was held at the Technion-Israel Institute of Technology, during March 1995. This book contains 27 papers delivered during the symposium. The book follows the five sessions of the symposium. The first section, Processing and Pattern Analysis of Normal and Pathological EEG, accounts for some of the latest developments in the area of EEG processing, namely: time varying parametric modeling; non-linear dynamic modeling of the EEG using chaos theory; Markov analysis; delay estimation using adaptive least-squares filtering; and applications to the analysis of epileptic EEG, EEG recorded from psychiatric patients, and sleep EEG.

Advances in VLSI, Communication, and Signal Processing

Advances in VLSI, Communication, and Signal Processing
  • Author : David Harvey,Haranath Kar,Shekhar Verma,Vijaya Bhadauria
  • Publisher : Springer Nature
  • Release Date : 2020-10-14
  • Total pages : 741
  • ISBN : 9789811568404
  • File Size : 53,6 Mb
  • Total Download : 978
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This book comprises select peer-reviewed papers from the International Conference on VLSI, Communication and Signal processing (VCAS) 2019, held at Motilal Nehru National Institute of Technology (MNNIT) Allahabad, Prayagraj, India. The contents focus on latest research in different domains of electronics and communication engineering, in particular microelectronics and VLSI design, communication systems and networks, and signal and image processing. The book also discusses the emerging applications of novel tools and techniques in image, video and multimedia signal processing. This book will be useful to students, researchers and professionals working in the electronics and communication domain.

Biomedical Signal Processing for Healthcare Applications

Biomedical Signal Processing for Healthcare Applications
  • Author : Varun Bajaj,G. R. Sinha,Chinmay Chakraborty
  • Publisher : CRC Press
  • Release Date : 2021-07-21
  • Total pages : 336
  • ISBN : 9781000413304
  • File Size : 45,6 Mb
  • Total Download : 841
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This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications. FEATURES Examines modeling and acquisition of biomedical signals of different disorders Discusses CAD-based analysis of diagnosis useful for healthcare Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG Includes case studies and research directions, including novel approaches used in advanced healthcare systems This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.

Contemporary Methods in Bioinformatics and Biomedicine and Their Applications

Contemporary Methods in Bioinformatics and Biomedicine and Their Applications
  • Author : Sotir S. Sotirov,Tania Pencheva,Janusz Kacprzyk,Krasimir Atanasov,Evdokia Sotirova,Galya Staneva
  • Publisher : Springer Nature
  • Release Date : 2022
  • Total pages : 457
  • ISBN : 9783030966386
  • File Size : 19,8 Mb
  • Total Download : 874
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This book gathers selected papers from the First International Symposium on Bioinformatics and Biomedicine. Issues related to medicine and health care constitute one of the grand challenges faces by the mankind, and this naturally implies a growing interest in these problems among both researchers and scholars, politicians and policymakers, as well as economist. The present values which gather selected papers from the First International Symposium on Bioinformatics and Biomedicine (BioInfoMed'2020) is a recent response to this interests. In the subsequent sections and chapters, it covers a multitude of various topics related to bioinformatics, biomedicine, bioenginering, as well as a broadly perceives healthcare. Issues related to decision making in bioinformatics, biomedicine and health care, mathematical modelling in biomedicine and health care, artificial intelligence in biomedicine and health care, uncertainty and imprecision, notably intuitionistic fuzzy sets with applications in bioinformatics and biomedicine, biomedical approaches and applications, biomedical imaging and image processing, and excitable structures and motor activity are covered.

Advances in Information Technology Research and Application: 2011 Edition

Advances in Information Technology Research and Application: 2011 Edition
  • Author : Anonim
  • Publisher : ScholarlyEditions
  • Release Date : 2012-01-09
  • Total pages : 1553
  • ISBN : 9781464920745
  • File Size : 43,5 Mb
  • Total Download : 501
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Advances in Information Technology Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Information Technology. The editors have built Advances in Information Technology Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Information Technology in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Information Technology Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Advanced Signal Processing Handbook

Advanced Signal Processing Handbook
  • Author : Stergios Stergiopoulos
  • Publisher : CRC Press
  • Release Date : 2017-09-08
  • Total pages : 752
  • ISBN : 9781351369442
  • File Size : 27,7 Mb
  • Total Download : 422
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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 challenge remains to develop a concept that exploits the advantages of both-a scheme that integrates these methods in practical, real-time systems. The Advanced Signal Processing Handbook helps you meet that challenge. Beyond offering an outstanding introduction to the principles and applications of advanced signal processing, it develops a generic processing structure that takes advantage of the similarities that exist among radar, sonar, and medical imaging systems and integrates conventional and nonlinear processing schemes.