Advances In Signal And Data Processing

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Advances in Signal and Data Processing

Author : S. N. Merchant,Krishna Warhade,Debashis Adhikari
Publisher : Springer Nature
Page : 678 pages
File Size : 51,7 Mb
Release : 2021-01-11
Category : Technology & Engineering
ISBN : 9789811583919

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Advances in Signal and Data Processing by S. N. Merchant,Krishna Warhade,Debashis Adhikari Pdf

This book presents the select peer-reviewed proceedings of the International Conference on Signal and Data Processing (ICSDP) 2019. It examines and deliberates on the recent progresses in the areas of communication and signal processing. The book includes topics on the recent advances in the areas of wired and wireless communication, low complexity architecture of MIMO receivers, applications on wireless sensor networks and internet of things, signal processing, image processing and computer vision, VLSI embedded systems, cognitive networks, power electronics and automation, mechatronics based applications, systems and control, cognitive science and machine intelligence, information security and big data. The contents of this book will be useful for beginners, researchers, and professionals interested in the area of communication, signal processing, and allied fields.

Advanced Digital Signal Processing of Seismic Data

Author : Wail A. Mousa
Publisher : Cambridge University Press
Page : 341 pages
File Size : 50,6 Mb
Release : 2020-01-16
Category : Business & Economics
ISBN : 9781107039650

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Advanced Digital Signal Processing of Seismic Data by Wail A. Mousa Pdf

Presents an advanced overview of Digital Signal Processing and its applications to exploration seismology, for electrical engineers, geophysicists and petroleum professionals.

Advances in Signal Processing

Author : Margarita Favorskaya,Lakhmi C. Jain
Publisher : Springer Nature
Page : 158 pages
File Size : 51,7 Mb
Release : 2020-03-19
Category : Technology & Engineering
ISBN : 9783030403126

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Advances in Signal Processing by Margarita Favorskaya,Lakhmi C. Jain Pdf

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.

Advances in Signal Processing and Intelligent Recognition Systems

Author : Sabu M. Thampi,Alexander Gelbukh,Jayanta Mukhopadhyay
Publisher : Springer Science & Business Media
Page : 607 pages
File Size : 55,7 Mb
Release : 2014-02-14
Category : Technology & Engineering
ISBN : 9783319049601

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Advances in Signal Processing and Intelligent Recognition Systems by Sabu M. Thampi,Alexander Gelbukh,Jayanta Mukhopadhyay Pdf

This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India. The program committee received 134 submissions from 11 countries. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 52 papers were finally selected. The papers offer stimulating insights into Pattern Recognition, Machine Learning and Knowledge-Based Systems; Signal and Speech Processing; Image and Video Processing; Mobile Computing and Applications and Computer Vision. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.

Advances in Signal Processing and Intelligent Recognition Systems

Author : Sabu M. Thampi,Rajesh M. Hegde,Sri Krishnan,Jayanta Mukhopadhyay,Vipin Chaudhary,Oge Marques,Selwyn Piramuthu,Juan M. Corchado
Publisher : Springer Nature
Page : 414 pages
File Size : 55,6 Mb
Release : 2020-04-30
Category : Computers
ISBN : 9789811548284

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Advances in Signal Processing and Intelligent Recognition Systems by Sabu M. Thampi,Rajesh M. Hegde,Sri Krishnan,Jayanta Mukhopadhyay,Vipin Chaudhary,Oge Marques,Selwyn Piramuthu,Juan M. Corchado Pdf

This book constitutes the refereed proceedings of the 5th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2019, held in Trivandrum, India, in December 2019. The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 63 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.

Advanced Data Acquisition and Intelligent Data Processing

Author : Vladimir Haasz,Kurosh Madani
Publisher : CRC Press
Page : 305 pages
File Size : 50,9 Mb
Release : 2022-09-01
Category : Computers
ISBN : 9781000795301

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Advanced Data Acquisition and Intelligent Data Processing by Vladimir Haasz,Kurosh Madani Pdf

DAQ and data processing is a basic part of all automated production systems, diagnostic systems, watching over quality of production, energy distribution, transport control or in various other areas. Demands on the speed, accuracy and reliability increase in general. It is possible to achieve not only using superior (but also more expensive) hardware, but also applying advanced data acquisition and intelligent data processing. It deals e.g. optimal data fusion of a number of sensors, new stochastic methods for accuracy increasing, new algorithms for acceleration of data processing, etc. These are the grounds for publishing this book. Advanced Data Acquisition and Intelligent Data Processing offers 10 up-to-date examples of different applications of advanced data acquisition and intelligent data processing used in monitoring, measuring and diagnostics systems. The book arose based on the most interesting papers from this area published at IDAACS?2013 conference. However, the indivudual chapters include not only designed solution in wider context but also relevant theoretical parts, achieved results and possible future ways.Technical topics discussed in this book include: • advanced methods of data acquisition in application that are not routine;• measured data fusion using up-to-date advanced data processing;• nonlinear dynamical systems identification;• multidimensional image processing.Advanced Data Acquisition and Intelligent Data Processing is ideal for personnel of firms deals with advanced instrumentation, energy consumption monitoring, environment monitoring, non-descructive diagnostics robotics, etc., as well as academic staff and postgraduate students in electrical, control and computer engineering.Content: 1. Introduction; 2. Waveform acquisition with resolutions exceeding those of the ADC employed; 3. Different Disaggregation Algorithms in Non-Intrusive Home Energy Monitoring Systems; 4. Design and testing of an electronic nose system sensitive to the aroma of truffles; 5. DAQ System for Ultrasonic Transducer Evaluation under Spread Spectrum Excitation; 6. Optimal Data Fusion in Decentralized Stochastic Unknown Input Observers; 7. Odor Classification by Neural Networks; 8. ANFIS Based Approach for Improved Multisensors Signal Processing; 9. Neuro-Fuzzy Sensor's Linearization Based FPGA; 10. Interpolation Method of Nonlinear Dynamical Systems Identification Based on Volterra Model in Frequency Domain ; 11. Training Cellular Automata for Hyperspectral Image Segmentation

Advances in Cardiac Signal Processing

Author : U. Rajendra Acharya
Publisher : Springer Science & Business Media
Page : 478 pages
File Size : 43,6 Mb
Release : 2007-04-25
Category : Technology & Engineering
ISBN : 9783540366751

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Advances in Cardiac Signal Processing by U. Rajendra Acharya Pdf

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.

Applied Signal and Image Processing

Author : Rami Qahwaji,Roger Green,Evor Hines
Publisher : IGI Global
Page : 0 pages
File Size : 55,5 Mb
Release : 2011
Category : Computers
ISBN : 1609604776

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Applied Signal and Image Processing by Rami Qahwaji,Roger Green,Evor Hines Pdf

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.

Advances in Neural Signal Processing

Author : Ramana Vinjamuri
Publisher : BoD – Books on Demand
Page : 144 pages
File Size : 49,9 Mb
Release : 2020-09-09
Category : Medical
ISBN : 9781789841138

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Advances in Neural Signal Processing by Ramana Vinjamuri Pdf

Neural signal processing is a specialized area of signal processing aimed at extracting information or decoding intent from neural signals recorded from the central or peripheral nervous system. This has significant applications in the areas of neuroscience and neural engineering. These applications are famously known in the area of brain–machine interfaces. This book presents recent advances in this flourishing field of neural signal processing with demonstrative applications.

Advances in Intelligent Signal Processing and Data Mining

Author : Petia Georgieva,Lyudmila Mihaylova,Lakhmi C Jain
Publisher : Springer
Page : 359 pages
File Size : 49,8 Mb
Release : 2012-07-27
Category : Technology & Engineering
ISBN : 9783642286964

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Advances in Intelligent Signal Processing and Data Mining by Petia Georgieva,Lyudmila Mihaylova,Lakhmi C Jain Pdf

The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.

Signals and Images

Author : Rosângela Fernandes Coelho,Vitor Heloiz Nascimento,Ricardo Lopes de Queiroz,João Marcos Travassos Romano,Charles Casimiro Cavalcante
Publisher : CRC Press
Page : 598 pages
File Size : 49,7 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781498722377

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Signals and Images by Rosângela Fernandes Coelho,Vitor Heloiz Nascimento,Ricardo Lopes de Queiroz,João Marcos Travassos Romano,Charles Casimiro Cavalcante Pdf

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines contributions from field experts to deliver a comprehensive account of the latest developments in signal processing. These experts detail the results of their research related to audio and speech enhancement, acoustic image estimation, video compression, biometric recognition, hyperspectral image analysis, tensor decomposition with applications in communications, adaptive sparse-interpolated filtering, signal processing for power line communications, bio-inspired signal processing, seismic data processing, arithmetic transforms for spectrum computation, particle filtering in cooperative networks, three-dimensional television, and more. This book not only shows how signal processing theory is applied in current and emerging technologies, but also demonstrates how to tackle key problems such as how to enhance speech in the time domain, improve audio quality, and meet the desired electrical consumption target for controlling carbon emissions. Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing serves as a guide to the next generation of signal processing solutions for speech and video coding, hearing aid devices, big data processing, smartphones, smart digital communications, acoustic sensors, and beyond.

Advanced Methods of Biomedical Signal Processing

Author : Sergio Cerutti,Carlo Marchesi
Publisher : John Wiley & Sons
Page : 612 pages
File Size : 40,9 Mb
Release : 2011-06-09
Category : Science
ISBN : 9781118007730

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Advanced Methods of Biomedical Signal Processing by Sergio Cerutti,Carlo Marchesi Pdf

This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the participants state-of-the-art knowledge on emerging areas in biomedical engineering. Prominent experts in the areas of biomedical signal processing, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as their clinical or physiological applications. The book provides an overview of a compelling group of advanced biomedical signal processing techniques, such as multisource and multiscale integration of information for physiology and clinical decision; the impact of advanced methods of signal processing in cardiology and neurology; the integration of signal processing methods with a modelling approach; complexity measurement from biomedical signals; higher order analysis in biomedical signals; advanced methods of signal and data processing in genomics and proteomics; and classification and parameter enhancement.

Advanced Signal Processing and Digital Noise Reduction

Author : Saeed V. Vaseghi
Publisher : Vieweg+Teubner Verlag
Page : 424 pages
File Size : 40,5 Mb
Release : 1996-05
Category : Technology & Engineering
ISBN : UCSD:31822023423569

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Advanced Signal Processing and Digital Noise Reduction by Saeed V. Vaseghi Pdf

Bayesian Estimation and classification. Hidden markov models. Wiener filters. Kalman and adaptive least squared error filters.

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

Author : Rajesh Kumar Tripathy,Ram Bilas Pachori
Publisher : Elsevier
Page : 186 pages
File Size : 42,8 Mb
Release : 2024-06-17
Category : Computers
ISBN : 9780443141409

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Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing by Rajesh Kumar Tripathy,Ram Bilas Pachori Pdf

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular data analysis. Topics in this book include machine learning methods such as supervised learning, unsupervised learning, semi-supervised learning, and meta-learning combined with different signal processing techniques such as multivariate data analysis, time-frequency analysis, multiscale analysis, and feature extraction techniques for the detection of cardiovascular diseases, heart valve disorders, hypertension, and activity monitoring using ECG, PPG, and PCG signals. In addition, this book also includes the applications of digital signal processing (time-frequency analysis, multiscale decomposition, feature extraction, non-linear analysis, and transform domain methods), machine learning and deep learning (convolutional neural network (CNN), recurrent neural network (RNN), transformer and attention-based models, etc.) techniques for the analysis of cardiac signals. The interpretable machine learning and deep learning models combined with signal processing for cardiovascular data analysis are also covered. Provides details regarding the application of various signal processing and machine learning-based methods for cardiovascular signal analysis Covers methodologies as well as experimental results and studies Helps readers understand the use of different cardiac signals such as ECG, PCG, and PPG for the automated detection of heart ailments and other related biomedical applications

New Digital Signal Processing Methods

Author : Raoul R. Nigmatullin,Paolo Lino,Guido Maione
Publisher : Springer Nature
Page : 458 pages
File Size : 52,6 Mb
Release : 2020-05-23
Category : Technology & Engineering
ISBN : 9783030453596

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New Digital Signal Processing Methods by Raoul R. Nigmatullin,Paolo Lino,Guido Maione Pdf

This book is intended as a manual on modern advanced statistical methods for signal processing. The objectives of signal processing are the analysis, synthesis, and modification of signals measured from different natural phenomena, including engineering applications as well. Often the measured signals are affected by noise, distortion and incompleteness, and this makes it difficult to extract significant signal information. The main topic of the book is the extraction of significant information from measured data, with the aim of reducing the data size while keeping the basic information/knowledge about the peculiarities and properties of the analyzed system; to this aim, advanced and recently developed methods in signal analysis and treatment are introduced and described in depth. More in details, the book covers the following new advanced topics (and the corresponding algorithms), including detailed descriptions and discussions: the Eigen-Coordinates (ECs) method, The statistics of the fractional moments, The quantitative "universal" label (QUL) and the universal distribution function for the relative fluctuations (UDFRF), the generalized Prony spectrum, the Non-orthogonal Amplitude Frequency Analysis of the Smoothed Signals (NAFASS), the discrete geometrical invariants (DGI) serving as the common platform for quantitative comparison of different random functions. Although advanced topics are discussed in signal analysis, each subject is introduced gradually, with the use of only the necessary mathematics, and avoiding unnecessary abstractions. Each chapter presents testing and verification examples on real data for each proposed method. In comparison with other books, here it is adopted a more practical approach with numerous real case studies.