Gopi E.S. Multi-Disciplinary Digital Signal Processing: A Functional Approach Using MatLAB

Springer International Publishing AG, 2018. — 205 p. — ISBN: 3319574299.This book provides a comprehensive overview of digital signal processing for a multi-disciplinary audience. It posits that though the theory involved in digital signal processing stems from electrical, electronics, communication, and control engineering, the topic has use in other disciplinary areas like chemical, mechanical, civil, computer science, and management. This book is written about digital signal processing in such a way that it is suitable for a wide ranging audience.
Readers should be able to get a grasp of the field, understand the concepts easily, and apply as needed in their own fields. It covers sampling and reconstruction of signals; infinite impulse response filter; finite impulse response filter; multi rate signal processing; statistical signal processing; and applications in multidisciplinary domains. The book takes a functional approach and all techniques are illustrated using MatLAB.Sampling and Reconstruction of Signals
Sampling of Sinusoidal Signal.
Fourier Series (FS).
Fourier Transformation (FT).
Discrete Time Fourier Transformation (DTFT) and Sampling Theorem.
Discrete Fourier Transformation (DFT) (Sampling the Frequency Domain).
Continous System.
Laplace Transformation (s-Transformation).
Geometrical Interpretation of Computation of Magnitude Response of the Filter Using Pole-Zero Plot of s-Transformation.
Discrete System.
Z-Transformation.
Response of the Digital Filter with the Typical Transfer Function (Obtained Using DTFT) to the Periodic Sequence
Geometrical Interpretation of Computation of Magnitude Response of the Filter Using Pole-Zero Plot of z-Transformation.Infinite Impulse Response (HR) Filter
Impulse-Invariant Mapping.
Bilinear Transformation Mapping.
Realization.Finite Impulse Response Filter (FIR Filter)
Demonstration of Four Types of FIR Filter.
Design of Linear Phase FIR Filter-Windowing Technique.
FIR Filters that Have Identical Magnitude Response.Multirate Digital Signal Processing
Sampling Rate Conversion by the Factor.
Poly-phase Realization of the Filter for Interpolation.
Poly-phase Realization of the Filter for Decimation.
Quadrature Mirror Filter.
Transmultiplexer.Statistical Signal Processing
Introduction to Random Process.
Auto Regressive (AR), Moving Average (MA) and Auto Regressive Moving Average (ARMA) Modeling.
Adaptive Filter.
Spectral Estimation.Selected Applications in Multidisciplinary Domain
Multipath Transmission in Wireless Communication.
Cyclic Prefix in Orthogonal Frequency Division Multiplexing (OFDM).
Projection Slice Theorem for Computed Tomography Imaging.
Warped Discrete Fourier Transformation for Speech Signal.
Nonuniform Discrete Fourier Transformation for the Compressive Sensing Applications.
Nonuniform Sampling of Real Data in Multidisciplinary Applications-Linear Model for Regression.List of m-files
Index