Signal Processing: Principles and Implementation

Author:   S.V. Narasimhan ,  S. Veena
Publisher:   Alpha Science International Ltd
Edition:   Revised Edition
ISBN:  

9781842654996


Pages:   596
Publication Date:   30 January 2008
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Signal Processing: Principles and Implementation


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Overview

Signal Processing has been developed in a simple logical manner. To understand the subject, knowledge of junior level physics and mathematics is required. The ease of understanding is not at the cost of the rigor and depth of the subject but has been achieved by giving all the intermediate mathematical steps involved in a derivation and by giving the physical meaning of the mathematical relations.

Full Product Details

Author:   S.V. Narasimhan ,  S. Veena
Publisher:   Alpha Science International Ltd
Imprint:   Alpha Science International Ltd
Edition:   Revised Edition
Dimensions:   Width: 18.50cm , Height: 3.10cm , Length: 24.00cm
ISBN:  

9781842654996


ISBN 10:   1842654993
Pages:   596
Publication Date:   30 January 2008
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preface Acknowledgements Introduction Signal Analysis Signal Transmission and Power Density Spectrum Sampling Theorem and Development of Discrete Fourier Transform (DFT) The Fast Fourier Transform (FFT) and its Application The Z-Transform The Magnitude and Phase The Analog Filter Design The Infinite Impulse Response (IIR) Filter Design The Finite Impulse Response (FIR) Filter Design Structures for Transfer Functions Random Process Theory Non-parametric Spectral Estimation Parametric Spectral Estimation Iterative solutions to normal equations Applications of Signal Processing DSP Processor Fundamentals DSP Application Development on the processor Appendix-A: Expectation of the Product of Four Gaussian Random Variables Appendix-B: Orthonormal Diagonalization Bibliography Index Programs for Examples are Given in the CD.

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Author Information

S. V. Narasimhan / S. Veena.: Degital Signal Processing and System Group Aerospace Electronics & System Division National Aerospace Laboratory, Bangalore

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