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Signal Processing: Signals, Filtering, and Detection by Nirode C. Mohanty (Engli

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Last updated on 19 May, 2024 23:18:31 AESTView all revisionsView all revisions

Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9789401170468
Book Title
Signal Processing
ISBN
9789401170468
Subject Area
Technology & Engineering, Non-Classifiable
Publication Name
Signal Processing : Signals, Filtering, and Detection
Publisher
Springer Netherlands
Item Length
9 in
Subject
Signals & Signal Processing
Publication Year
2013
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.5 in
Author
Nirode C. Mohanty
Item Weight
34.4 Oz
Item Width
6 in
Number of Pages
VIII, 664 Pages

About this product

Product Information

Signal processing arises in the design of such diverse systems as communications, sonar, radar, electrooptical, navigation, electronic warfare and medical imaging systems. It is also used in many physical sciences, such as geophysics, acoustics, and meteorology, among many others. The common theme is to extract and estimate the desired signals, which are mixed with a variety of noise sources and disturbances. Signal processing involves system analysis, random processes, statistical inferences, and software and hardware implementation. The purpose of this book is to provide an elementary, informal introduction, as well as a comprehensive account of principles of random signal processing, with emphasis on the computational aspects. This book covers linear system analysis, probability theory, random signals, spectral analysis, estimation, filtering, and detection theory. It can be used as a text for a course in signal processing by under- graduates and beginning graduate students in engineering and science and also by engineers and scientists engaged in signal analysis, filtering, and detection. Part of the book has been used by the author while teaching at the State University of New York at Buffalo and California State University at Long Beach. An attempt has been made to make the book self-contained and straight- forward, with the hope that readers with varied backgrounds can appreciate and apply principles of signal processing. Chapter 1 provides a brief review of linear analysis of deterministic signals.

Product Identifiers

Publisher
Springer Netherlands
ISBN-10
9401170460
ISBN-13
9789401170468
eBay Product ID (ePID)
175897009

Product Key Features

Number of Pages
VIII, 664 Pages
Language
English
Publication Name
Signal Processing : Signals, Filtering, and Detection
Publication Year
2013
Subject
Signals & Signal Processing
Type
Textbook
Subject Area
Technology & Engineering, Non-Classifiable
Author
Nirode C. Mohanty
Format
Trade Paperback

Dimensions

Item Height
0.5 in
Item Weight
34.4 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Intended Audience
Scholarly & Professional
Number of Volumes
1 Vol.
Illustrated
Yes
Lc Classification Number
Tk5102.9
Table of Content
1. Signals, Spectra, and Samples.- 1.0. Introduction.- 1.1. Signals.- 1.2. Fourier Series.- 1.3. Fourier, Laplace, and Hubert Transforms.- 1.4. Linear Systems and Filters.- 1.5. Sampling.- 1.6. Digital Signals and Discrete Transforms.- 1.7. Matrix and State Variable Methods.- 1.8. Bibliographical Notes.- Exercises.- Appendix 1.A. The Fast Fourier Transforms.- Appendix 1.B. Zeros and Poles.- Appendix 1.C. Proofs of Fourier, Laplace, and z Transforms.- Appendix 1.D. Digital Filter Fundamentals.- 2. Random Samples.- 2.0. Introduction.- 2.1. Probability Space.- 2.2. Probability Assignment.- 2.3. Random Variable.- 2.4. Moments and Characteristic Function.- 2.5. Functions of Random Variables.- 2.6. Multidimensional Random Variable.- 2.7. Conditional Probability: Distribution and Density.- 2.8. Distribution Associated with Gaussian Variables.- 2.9. Bibliographical Notes.- Exercises.- Appendix 2.A. Cauchy-Schwarz Inequality.- 3. Random Signals, Estimation, and Filtering.- 3.0. Introduction.- 3.1. Definition and Description.- 3.2. Correlation and Covariance Functions.- 3.3. Gaussian and Markov Processes.- 3.4. Stationary Random Signals.- 3.5. Spectral Analysis and Sampling.- 3.6. Narrow Band Noise Process.- 3.7. Estimation of Parameters.- 3.8. Estimation Methods.- 3.9. Recursive Estimation.- 3.10. Optimum Linear Filters.- 3.11. Bibliographical Notes.- Exercises.- Appendix 3.A. Spectral Estimation.- Appendix 3.B. Kaiman Filtering.- 4. Detection of Signals.- 4.0. Introduction.- 4.1. Hypothesis Testing.- 4.2. Signals with Known Parameters.- 4.3. Signals with Random Parameters.- 4.4. Signals in Colored Noise.- 4.5. Multiple Signals.- 4.6. Sequential Detection.- 4.7. Nonparametric Methods.- 4.8. Bibliographical Notes.- Exercises.- Appendix 4.A. Two Double-Integral Identities.- Appendix 4.B. Link Calculation for Satellite Communication and Rain Attenuation.
Copyright Date
1987

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