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Optimum Signal Processing An Introducti
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Book Synopsis Optimum Signal Processing by : Sophocles J. Orfanidis
Download or read book Optimum Signal Processing written by Sophocles J. Orfanidis and published by MacMillan Publishing Company. This book was released on 1988 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis OPTIMUM SIGNAL PROCESSING. AN INTRODUCTI by : Sophocles J. Orfanidis
Download or read book OPTIMUM SIGNAL PROCESSING. AN INTRODUCTI written by Sophocles J. Orfanidis and published by . This book was released on 1990 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimum Signal Processing by : Sophocles J. Orfanidis
Download or read book Optimum Signal Processing written by Sophocles J. Orfanidis and published by . This book was released on 2007 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Digital Signal Processing and Filter Design by : B. A. Shenoi
Download or read book Introduction to Digital Signal Processing and Filter Design written by B. A. Shenoi and published by John Wiley & Sons. This book was released on 2005-11-07 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and accessible guide to understanding digital signal processing Introduction to Digital Signal Processing and Filter Design was developed and fine-tuned from the author's twenty-five years of experience teaching classes in digital signal processing. Following a step-by-step approach, students and professionals quickly master the fundamental concepts and applications of discrete-time signals and systems as well as the synthesis of these systems to meet specifications in the time and frequency domains. Striking the right balance between mathematical derivations and theory, the book features: * Discrete-time signals and systems * Linear difference equations * Solutions by recursive algorithms * Convolution * Time and frequency domain analysis * Discrete Fourier series * Design of FIR and IIR filters * Practical methods for hardware implementation A unique feature of this book is a complete chapter on the use of a MATLAB(r) tool, known as the FDA (Filter Design and Analysis) tool, to investigate the effect of finite word length and different formats of quantization, different realization structures, and different methods for filter design. This chapter contains material of practical importance that is not found in many books used in academic courses. It introduces students in digital signal processing to what they need to know to design digital systems using DSP chips currently available from industry. With its unique, classroom-tested approach, Introduction to Digital Signal Processing and Filter Design is the ideal text for students in electrical and electronic engineering, computer science, and applied mathematics, and an accessible introduction or refresher for engineers and scientists in the field.
Book Synopsis Detection, Estimation, and Modulation Theory, Set (Volumes: I,II, III,IV) by : Harry L. Van Trees
Download or read book Detection, Estimation, and Modulation Theory, Set (Volumes: I,II, III,IV) written by Harry L. Van Trees and published by Wiley-Interscience. This book was released on 2003-02-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal processing plays an important role in many diverse application areas, including radar, sonar, communications, seismology, radio astronomy, tomography, and communications. Now, by popular demand, acclaimed author Harry Van Trees' four-part encyclopedic treatment of signal processing is now collected into a set offering 25 years of information in a single source.
Book Synopsis Introduction to Random Signals and Noise by : Wim C. Van Etten
Download or read book Introduction to Random Signals and Noise written by Wim C. Van Etten and published by John Wiley & Sons. This book was released on 2006-02-03 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Statistical Digital Signal Processing and Modeling by : Monson H. Hayes
Download or read book Statistical Digital Signal Processing and Modeling written by Monson H. Hayes and published by John Wiley & Sons. This book was released on 1996-04-19 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.
Book Synopsis An Introduction to Random, Optimum and Adaptive Signal Processing by : Doug Gray (Professor.)
Download or read book An Introduction to Random, Optimum and Adaptive Signal Processing written by Doug Gray (Professor.) and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Digital and Kalman Filtering by : S. M. Bozic
Download or read book Digital and Kalman Filtering written by S. M. Bozic and published by Courier Dover Publications. This book was released on 2018-11-14 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text for advanced undergraduates and graduate students provides a concise introduction to increasingly important topics in electrical engineering: digital filtering, filter design, and applications in the form of the Kalman and Wiener filters. The first half focuses on digital filtering, covering FIR and IIR filter design and other concepts. The second half addresses filtering noisy data to extract a signal, with chapters on nonrecursive (FIR Wiener) estimation, recursive (Kalman) estimation, and optimum estimation of vector signals. The treatment is presented in tutorial form, but readers are assumed to be familiar with basic circuit theory, statistical averages, and elementary matrices. Central topics are developed gradually, including both worked examples and problems with solutions, and this second edition features new material and problems.
Book Synopsis Advanced Digital Signal Processing of Seismic Data by : Wail A. Mousa
Download or read book Advanced Digital Signal Processing of Seismic Data written by Wail A. Mousa and published by Cambridge University Press. This book was released on 2020-01-16 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents an advanced overview of Digital Signal Processing and its applications to exploration seismology, for electrical engineers, geophysicists and petroleum professionals.
Book Synopsis An Introduction to Statistical Signal Processing by : Robert M. Gray
Download or read book An Introduction to Statistical Signal Processing written by Robert M. Gray and published by Cambridge University Press. This book was released on 2004-12-02 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Optimum and Adaptive Signal Processing by : S. V. Narasimhan
Download or read book Optimum and Adaptive Signal Processing written by S. V. Narasimhan and published by . This book was released on 2017-09-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the concept of Optimum and Adaptive Signal Processing, while providing a straightforward explanation of all the intermediate steps in a mathematical expression derivation and its physical meaning. Chapters 1-8 and 9-17, addressing, respectively, optimum signal processing and adaptive signal processing, can serve as separate texts.
Book Synopsis Introduction to Signal Processing by : Sophocles J. Orfanidis
Download or read book Introduction to Signal Processing written by Sophocles J. Orfanidis and published by . This book was released on 1996 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides an applications-oriented introduction to digital signal processing covering all the basic DSP concepts and methods, such as sampling, discrete-time systems, DFT/FFT algorithms, and filter design. It emphasizes the algorithmic, computational, and programming aspects of DSP, and includes a large number of worked examples, applications, and computer examples. Applications, such as wavetables and digital audio effects, were chosen to motivate and appeal to undergraduates.
Book Synopsis Optimal and Adaptive Signal Processing by : Peter M. Clarkson
Download or read book Optimal and Adaptive Signal Processing written by Peter M. Clarkson and published by Routledge. This book was released on 2017-11-01 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations drawn from a wide range of applications, including speech and audio, communications, reflection seismology and sonar systems. The material is presented without a heavy reliance on mathematics and focuses on one-dimensional and array processing results, as well as a wide range of adaptive filter algorithms and implementations. Topics discussed include random signals and optimal processing, adaptive signal processing with the LMS algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing. Optimal and Adaptive Signal Processing is a valuable guide for scientists and engineers, as well as an excellent text for senior undergraduate/graduate level students in electrical engineering.
Book Synopsis Fundamentals of Statistical Signal Processing by : Steven M. Kay
Download or read book Fundamentals of Statistical Signal Processing written by Steven M. Kay and published by Pearson Education. This book was released on 2013 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: "For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.
Book Synopsis An Introduction to Digital Signal Processing by : John H. Karl
Download or read book An Introduction to Digital Signal Processing written by John H. Karl and published by Elsevier. This book was released on 2012-12-02 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Digital Signal Processing is written for those who need to understand and use digital signal processing and yet do not wish to wade through a multi-semester course sequence. Using only calculus-level mathematics, this book progresses rapidly through the fundamentals to advanced topics such as iterative least squares design of IIR filters, inverse filters, power spectral estimation, and multidimensional applications--all in one concise volume. This book emphasizes both the fundamental principles and their modern computer implementation. It presents and demonstrates how simple the actual computer code is for advanced modern algorithms used in DSP. Results of these programs, which the reader can readily duplicate and use on a PC, are presented in many actual computer drawn plots. - Assumes no previous knowledge of signal processing but leads up to very advanced techniquescombines exposition of fundamental principles with practical applications - Includes problems with each chapter - Presents in detail the appropriate computer algorithums for solving problems
Book Synopsis Algorithms for Statistical Signal Processing by : John G. Proakis
Download or read book Algorithms for Statistical Signal Processing written by John G. Proakis and published by . This book was released on 2002 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keeping pace with the expanding, ever more complex applications of DSP, this authoritative presentation of computational algorithms for statistical signal processing focuses on "advanced topics" ignored by other books on the subject. Algorithms for Convolution and DFT. Linear Prediction and Optimum Linear Filters. Least-Squares Methods for System Modeling and Filter Design. Adaptive Filters. Recursive Least-Squares Algorithms for Array Signal Processing. QRD-Based Fast Adaptive Filter Algorithms. Power Spectrum Estimation. Signal Analysis with Higher-Order Spectra. For Electrical Engineers, Computer Engineers, Computer Scientists, and Applied Mathematicians.