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2018 | Buch

Sampling and Reconstruction of Signals Kapitel lesen Erstes Kapitel lesen

Multi-Disciplinary Digital Signal Processing

A Functional Approach Using Matlab

verfasst von: Dr. E. S. Gopi

Verlag: Springer International Publishing

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Sampling and Reconstruction of Signals
Abstract
The method of obtaining the discrete sequence from the continuous signal by sampling the continuous signal with the sampling frequency Fs is described in this chapter. This chapter covers Fourier series, Fourier transformation, Discrete Time Fourier Transformation, Discrete Fourier Transformation, Laplace transformation and the Z-transformation. This chapter deals with obtaining the output of the Discrete system described by the transfer function corresponding to the periodic input sequence. It also describes the Geometrical interpretation of the computation of magnitude response of the filter using pole-zero plot in both continuous and discrete domain.
E. S. Gopi
Chapter 2. Infinite Impulse Response (IIR) Filter
Abstract
This chapter deals with the method of converting the impulse response of the filter in the continuous domain into the one in discrete domain. It deals with Impulse invariant method, Bilinear transformation method and the method of realizing the IIR filter using Direct form-I and Direct form-II.
E. S. Gopi
Chapter 3. Finite Impulse Response Filter (FIR Filter)
Abstract
This chapter deals with four types of FIR filter constructed using windowing technique. It also describes the set of FIR filter that have identical magnitude response, but different phase response.
E. S. Gopi
Chapter 4. Multirate Digital Signal Processing
Abstract
This chapter deals with Sampling rate conversion, polyphase realization of FIR filters. It describes the methodology of decomposing the input signals using Quadrature Mirror Filter. It also describes the method of converting Time division multiplexing data into Frequency division multiplexing data using transmultiplexer.
E. S. Gopi
Chapter 5. Statistical Signal Processing
Abstract
This chapter deals with the generating model of the signal like speech signal using AR, MA and ARMA. This chapter covers how the adaptive filters are used for system model and noise removal. It also deals with estimating the spectral content of the given signal using eigen decomposition, Pisarenko Harmonic decomposition, MUSIC and ESPRIT method.
E. S. Gopi
Chapter 6. Selected Applications in Multidisciplinary Domain
Abstract
This chapter covers modelling the time-varying channel using Digital Signal Processing, importance of cyclic prefix in OFDM, usage of projection-slice theorem in Medical imaging (Computed Tomography), Non-uniform DFT for compressed sensing, Warped-DFT for speech signals. This chapter also describes the non-uniform sampling of real data in Multidisciplinary applications-Linear model for regression.
E. S. Gopi
Backmatter
Metadaten
Titel
Multi-Disciplinary Digital Signal Processing
verfasst von
Dr. E. S. Gopi
Copyright-Jahr
2018
Electronic ISBN
978-3-319-57430-1
Print ISBN
978-3-319-57429-5
DOI
https://doi.org/10.1007/978-3-319-57430-1

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