Fundamentals Of Stochastic Signals Systems And Estimation Theory
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Fundamentals Of Stochastic Signals Systems And Estimation Theory With Worked Examples
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Author : Branko Kovačević
language : en
Publisher:
Release Date : 2008
Fundamentals Of Stochastic Signals Systems And Estimation Theory With Worked Examples written by Branko Kovačević and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Estimation theory categories.
Fundamentals Of Stochastic Signals Systems And Estimation Theory
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Author : Branko Kovacevic
language : en
Publisher: Springer
Release Date : 2008-09-08
Fundamentals Of Stochastic Signals Systems And Estimation Theory written by Branko Kovacevic and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-08 with Technology & Engineering categories.
The main theme of this book deals with fundamental concepts underlying stochastic signal or linear stochastic systems, their modelling and analysis as well as model-based signal processing. Many examples are included to illustrate the concepts of this book.
Fundamentals Of Stochastic Signals Systems And Estimation Theory With Worked Examples
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Author : Branko Kovačević
language : en
Publisher:
Release Date : 1999
Fundamentals Of Stochastic Signals Systems And Estimation Theory With Worked Examples written by Branko Kovačević and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.
Optimal Estimation
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Author : Frank L. Lewis
language : en
Publisher: Wiley-Interscience
Release Date : 1986-04-15
Optimal Estimation written by Frank L. Lewis and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986-04-15 with Mathematics categories.
Describes the use of optimal control and estimation in the design of robots, controlled mechanisms, and navigation and guidance systems. Covers control theory specifically for students with minimal background in probability theory. Presents optimal estimation theory as a tutorial with a direct, well-organized approach and a parallel treatment of discrete and continuous time systems. Gives practical examples and computer simulations. Provides enough mathematical rigor to put results on a firm foundation without an overwhelming amount of proofs and theorems.
Random Signals
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Author : K. Sam Shanmugan
language : en
Publisher: John Wiley & Sons
Release Date : 1988-05-20
Random Signals written by K. Sam Shanmugan 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 1988-05-20 with Mathematics categories.
This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. It covers the fundamentals of random process models, the applications of probabilistic models and statistical estimation.
Introduction To Random Signals And Noise
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Author : Wim C. Van Etten
language : en
Publisher: John Wiley & Sons
Release Date : 2006-02-03
Introduction To Random Signals And Noise written by Wim C. Van Etten 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 2006-02-03 with Science categories.
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.
An Introduction To Statistical Signal Processing
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Author : Robert M. Gray
language : en
Publisher: Cambridge University Press
Release Date : 2004-12-02
An Introduction To Statistical Signal Processing written by Robert M. Gray 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 2004-12-02 with Technology & Engineering categories.
This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.
Fundamentals Of Multisite Radar Systems
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Author : V S Chernyak
language : en
Publisher: Routledge
Release Date : 2018-05-02
Fundamentals Of Multisite Radar Systems written by V S Chernyak and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-02 with Technology & Engineering categories.
This is an original and comprehensive monograph on the increasingly important field of Multistatic Radar Systems. The material covered includes target detection, coordinate and trajectory parameter estimation, optimum and suboptimum detectors and external interferences. The practical problems faced by those working with radar systems are considered - most algorithms are presented in a form allowing direct use in engineering practice, and many of the results can be immediately applied to information systems containing different types of sensors, not only radars. This book is the revised international edition of Chernyak's renowned Russian textbook.
Study On Signal Detection And Recovery Methods With Joint Sparsity
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Author : Xueqian Wang
language : en
Publisher: Springer Nature
Release Date : 2023-09-30
Study On Signal Detection And Recovery Methods With Joint Sparsity written by Xueqian Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-30 with Technology & Engineering categories.
The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging.
Advanced Digital Signal Processing And Noise Reduction
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Author : Saeed V. Vaseghi
language : en
Publisher: John Wiley & Sons
Release Date : 2008-12-23
Advanced Digital Signal Processing And Noise Reduction written by Saeed V. Vaseghi 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 2008-12-23 with Science categories.
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.