Introduction To Statistical Signal Processing With Applications,1/e
Author: Mandyam Dhati Srinath
Publisher:
Published: 1979
Total Pages: 499
ISBN-13: 9788129700957
DOWNLOAD EBOOK →Lanterna Rally
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An Introduction to Statistical Signal Processing
Author: Robert M. Gray
Publisher: Cambridge University Press
Published: 2004-12-02
Total Pages: 479
ISBN-13: 1139456288
DOWNLOAD EBOOK →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.
Introduction to Statistical Signal Processing with Applications
Author: Mandyam D. Srinath
Publisher:
Published: 1999
Total Pages: 450
ISBN-13: 9788120314719
DOWNLOAD EBOOK →Fundamentals of Statistical Signal Processing
Author: Steven M. Kay
Publisher: Pearson Education
Published: 2013
Total Pages: 496
ISBN-13: 013280803X
DOWNLOAD EBOOK →"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.
Signal Processing and Data Analysis
Author: Tianshuang Qiu
Publisher: Walter de Gruyter GmbH & Co KG
Published: 2018-07-09
Total Pages: 604
ISBN-13: 3110465086
DOWNLOAD EBOOK →This book presents digital signal processing theories and methods and their applications in data analysis, error analysis and statistical signal processing. Algorithms and Matlab programming are included to guide readers step by step in dealing with practical difficulties. Designed in a self-contained way, the book is suitable for graduate students in electrical engineering, information science and engineering in general.
Introduction to Applied Statistical Signal Analysis
Author: Richard Shiavi
Publisher: Richard d Irwin
Published: 1991
Total Pages: 454
ISBN-13: 9780256088625
DOWNLOAD EBOOK →Introduction to Applied Statistical Signal Analysis, 2nd Edition provides a balanced perspective of the concept, mathematical bases, requirements for estimation, and detailed quantitative examples of the implementation of the techniques for classical signal analysis. The presentation integrates theory and implementation, practical examples, homework exercises that range from pencil and paper format to computer-based format problems to instructional notebooks. The enclosed CD-ROM provides a mode of learning that is interactive and suited for self-pacing and independent learning.
Fundamentals of Statistical Signal Processing
Higher-Order Statistical Signal Processing
Author: Boualem Boashash
Publisher: *Halsted Press
Published: 1995
Total Pages: 560
ISBN-13:
DOWNLOAD EBOOK →Higher-Order Statistical Signal Processing brings together some most recent innovations in the field of higher-order statistical signal processing. It is structured to provide a comprehensive understanding of the fundamentals of the discipline, as well as a treatment of recent advances.
Stochastic Signal Processing
Author: Johann Frederic Böhme
Publisher: Springer Vieweg
Published: 2012
Total Pages: 325
ISBN-13: 9783834816115
DOWNLOAD EBOOK →This book intends to provide graduate students in electrical and information science a solid background in stochastic signal processing. Chapter one introduces random signals through measurement noise. Chapter two develops fundamental concepts in probability theory and statistical methods. Chapter three is devoted to stochastic processes, stochastic system theory, and statistical signal processing. The examples are carefully selected. Some of them are aimed at motivating students interested in advanced topics such as signal detection, estimation, spectral analysis and system identification. Problems with solutions and MATLAB exercises are included to encourage self study by researchers or engineers in related areas. The most important concepts in statistics are presented so that linear systems and nonlinear ones as rectifiers with random input and output signals have proper mathematical description and allow statistical inference. Such systems are fundamental to many engineering areas, for example, electronics, measurements, communications and control.
Digital and Statistical Signal Processing
Author: Anastasia Veloni
Publisher: CRC Press
Published: 2020-12-18
Total Pages: 558
ISBN-13: 9780367732998
DOWNLOAD EBOOK →Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing are introduced with theory, analytical tables, and applications with simulation tools. The book provides a collection of solved problems on digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables throughout the book, so the reader can solve practical problems on signal processing quickly and efficiently. FEATURES Explains how applications of DSP can be implemented in certain programming environments designed for real time systems, ex. biomedical signal analysis and medical image processing. Pairs theory with basic concepts and supporting analytical tables. Includes an extensive collection of solved problems throughout the text. Fosters the ability to solve practical problems on signal processing without focusing on extended theory. Covers the modeling process and addresses broader fundamental issues.
