Download Full eBooks in PDF
Extraction Of Signals From Noise Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Extraction Of Signals From Noise book. This book definitely worth reading, it is an incredibly well-written.
Author : Lev Alʹbertovich Vaĭnshteĭn,V. D. Zubakov
Publisher : Unknown
Page : 424 pages
File Size : 46,9 Mb
Release : 1970
Category : Technology & Engineering
ISBN : UVA:X001322632
First published in 1962.
Author : Lev Al'bertovich Vainshtein
Publisher : Unknown
Page : 382 pages
File Size : 43,6 Mb
Release : 1970
Category : Signal theory (Telecommunication)
ISBN : OCLC:954236892
First published in 1962.
Author : Govind Vashishtha,Rajesh Kumar
Publisher : Frontiers Media SA
Page : 134 pages
File Size : 43,9 Mb
Release : 2023-10-11
Category : Science
ISBN : 9782832535783
Acoustic signal is one of the hot topics of research in physics and has been studied by many engineers and scientists in various real-world fields, including underwater acoustics, architectural acoustics, engineering acoustics, physical acoustics, environmental acoustics, psychological acoustics, and so on. Noise reduction is the foundation of acoustic signal pre-processing, and the feature extraction for noise reduction signals can obtain useful information from the acoustic signal, which is the linchpin for pattern recognition, target detection, tracking, and localization.
Author : Vyacheslav Tuzlukov
Publisher : CRC Press
Page : 688 pages
File Size : 41,9 Mb
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 9781420041118
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.
Author : Anthony D. Whalen
Publisher : Academic Press
Page : 429 pages
File Size : 41,6 Mb
Release : 2013-09-11
Category : Technology & Engineering
ISBN : 9781483220543
Detection of Signals in Noise serves as an introduction to the principles and applications of the statistical theory of signal detection. The book discusses probability and random processes; narrowband signals, their complex representation, and their properties described with the aid of the Hilbert transform; and Gaussian-derived processes. The text also describes the application of hypothesis testing for the detection of signals and the fundamentals required for statistical detection of signals in noise. Problem exercises, references, and a supplementary bibliography are included after each chapter. Students taking a graduate course in signal detection theory.
Author : Danilo Mandic,Martin Golz,Anthony Kuh,Dragan Obradovic,Toshihisa Tanaka
Publisher : Springer Science & Business Media
Page : 335 pages
File Size : 47,9 Mb
Release : 2008-03-23
Category : Technology & Engineering
ISBN : 9780387743677
This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion. The book includes contributions presenting both novel algorithms and existing applications, emphasizing on-line processing of real-world data. Readers discover applications that solve biomedical, industrial, and environmental problems.
Author : Robert N. McDonough
Publisher : Unknown
Page : 495 pages
File Size : 53,6 Mb
Release : 1995
Category : Science
ISBN : 0127448527
The updated revision to the authors' successful and widely used introduction to the principles and applciation of the statistical theory of signal detection. The book emphasizes those theories that have been found to be particularly useful in practice, including principles applied to detection problems encountered in digital communications, radar, and sonar.
Author : Saeed V. Vaseghi
Publisher : Vieweg+Teubner Verlag
Page : 424 pages
File Size : 40,9 Mb
Release : 1996-05
Category : Technology & Engineering
ISBN : UCSD:31822023423569
Bayesian Estimation and classification. Hidden markov models. Wiener filters. Kalman and adaptive least squared error filters.
Author : Saleem A. Kassam
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 46,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461238348
This book contains a unified treatment of a class of problems of signal detection theory. This is the detection of signals in addi tive noise which is not required to have Gaussian probability den sity functions in its statistical description. For the most part the material developed here can be classified as belonging to the gen eral body of results of parametric theory. Thus the probability density functions of the observations are assumed to be known, at least to within a finite number of unknown parameters in a known functional form. Of course the focus is on noise which is not Gaussian; results for Gaussian noise in the problems treated here become special cases. The contents also form a bridge between the classical results of signal detection in Gaussian noise and those of nonparametric and robust signal detection, which are not con sidered in this book. Three canonical problems of signal detection in additive noise are covered here. These allow between them formulation of a range of specific detection problems arising in applications such as radar and sonar, binary signaling, and pattern recognition and classification. The simplest to state and perhaps the most widely studied of all is the problem of detecting a completely known deterministic signal in noise. Also considered here is the detection random non-deterministic signal in noise. Both of these situa of a tions may arise for observation processes of the low-pass type and also for processes of the band-pass type.
Author : Wim C. Van Etten
Publisher : John Wiley & Sons
Page : 270 pages
File Size : 45,6 Mb
Release : 2006-02-03
Category : Science
ISBN : 9780470024126
Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise. With worked examples, problems, and detailed appendices, Introduction to Random Signals and Noise gives the reader the knowledge to design optimum systems for effectively coping with unwanted signals. Key features: Considers a wide range of signals and noise, including analogue, discrete-time and bandpass signals in both time and frequency domains. Analyses the basics of digital signal detection using matched filtering, signal space representation and correlation receiver. Examines optimal filtering methods and their consequences. Presents a detailed discussion of the topic of Poisson processes and shot noise. An excellent resource for professional engineers developing communication systems, semiconductor devices, and audio and video equipment, this book is also ideal for senior undergraduate and graduate students in Electronic and Electrical Engineering.
Author : Saeed V. Vaseghi
Publisher : John Wiley & Sons
Page : 544 pages
File Size : 40,8 Mb
Release : 2008-12-23
Category : Science
ISBN : 9780470740163
Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems Examples and applications in signal and information extraction from noisy data Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.
Author : Pieter Kubben,Michel Dumontier,Andre Dekker
Publisher : Springer
Page : 219 pages
File Size : 51,9 Mb
Release : 2018-12-21
Category : Medical
ISBN : 9783319997131
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Author : Library of Congress. Science and Technology Division
Publisher : Unknown
Page : 1196 pages
File Size : 49,6 Mb
Release : 1961
Category : Military research
ISBN : OSU:32435051670529
Author : Li Hu,Zhiguo Zhang
Publisher : Springer Nature
Page : 437 pages
File Size : 43,6 Mb
Release : 2019-10-12
Category : Medical
ISBN : 9789811391132
This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.
Author : Yue Wang,Meixia Fu,Lexi Xu,Jiaqi Zou
Publisher : Springer Nature
Page : 934 pages
File Size : 53,7 Mb
Release : 2020-04-04
Category : Technology & Engineering
ISBN : 9789811541636
This book collects selected papers from the 6th Conference on Signal and Information Processing, Networking and Computers, held in Guiyang, China, on August 13 - 16, 2019. Focusing on the latest advances in information theory, communication systems, computer science, aerospace technologies, big data and other related technologies, it offers a valuable resource for researchers and industrial practitioners alike.