Algorithms for Statistical Signal Processing

Algorithms for Statistical Signal Processing
Author: John G. Proakis
Publisher:
Total Pages: 584
Release: 2002
Genre: Computers
ISBN:

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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.

统计信号处理算法

统计信号处理算法
Author: J.G.·普罗基斯
Publisher:
Total Pages: 567
Release: 2003
Genre: Algorithms
ISBN: 9787302061694

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著者译名:普罗基斯。

Fundamentals of Statistical Signal Processing

Fundamentals of Statistical Signal Processing
Author: Steven M. Kay
Publisher: Pearson Education
Total Pages: 496
Release: 2013
Genre: Technology & Engineering
ISBN: 013280803X

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"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.

Machine Learning for Signal Processing

Machine Learning for Signal Processing
Author: Max A. Little
Publisher: Oxford University Press, USA
Total Pages: 378
Release: 2019
Genre: Computers
ISBN: 0198714939

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Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.

Statistical Digital Signal Processing and Modeling

Statistical Digital Signal Processing and Modeling
Author: Monson H. Hayes
Publisher: John Wiley & Sons
Total Pages: 629
Release: 1996-04-19
Genre: Technology & Engineering
ISBN: 0471594318

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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.

Statistical Signal Processing

Statistical Signal Processing
Author: Swagata Nandi
Publisher: Springer Nature
Total Pages: 265
Release: 2020-08-21
Genre: Computers
ISBN: 9811562806

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This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical observations. The received signals are usually disturbed by thermal, electrical, atmospheric or intentional interferences, and due to their random nature, statistical techniques play an important role in their analysis. Statistics is also used in the formulation of appropriate models to describe the behavior of systems, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Analyzing different real-world data sets to illustrate how different models can be used in practice, and highlighting open problems for future research, the book is a valuable resource for senior undergraduate and graduate students specializing in mathematics or statistics.

Fast Algorithms for Signal Processing

Fast Algorithms for Signal Processing
Author: Richard E. Blahut
Publisher: Cambridge University Press
Total Pages: 469
Release: 2010-06-24
Genre: Technology & Engineering
ISBN: 1139487957

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Efficient signal processing algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced significantly. Similarly, efficient algorithms are also critical to very large scale applications such as video processing and four-dimensional medical imaging. This self-contained guide, the only one of its kind, enables engineers to find the optimum fast algorithm for a specific application. It presents a broad range of computationally-efficient algorithms, describes their structure and implementation, and compares their relative strengths for given problems. All the necessary background mathematics is included and theorems are rigorously proved, so all the information needed to learn and apply the techniques is provided in one convenient guide. With this practical reference, researchers and practitioners in electrical engineering, applied mathematics, and computer science can reduce power dissipation for low-end applications of signal processing, and extend the reach of high-end applications.

Statistical Signal Processing

Statistical Signal Processing
Author: T. Chonavel
Publisher: Springer Science & Business Media
Total Pages: 358
Release: 2002-03-22
Genre: Technology & Engineering
ISBN: 9781852333850

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The only book on the subject at this level, this is a well written formalised and concise presentation of the basis of statistical signal processing. It teaches a wide variety of techniques, demonstrating how they can be applied to many different situations.

An Introduction to Statistical Signal Processing

An Introduction to Statistical Signal Processing
Author: Robert M. Gray
Publisher: Cambridge University Press
Total Pages: 479
Release: 2004-12-02
Genre: Technology & Engineering
ISBN: 1139456288

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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.