Digital signal processing
By: Rawat, Tarun Kumar
.
Publisher: New Delhi Oxford University Press 2015Edition: 1st.Description: xxvi, 1072p. | Binding - Paperback | 24.*18.5 cm.ISBN: 9780198081937; 0198081936.Subject(s): Computer EngineeringDDC classification: 621.3822 Summary: Digital Signal Processing is a comprehensive textbook designed for undergraduate and postgraduate students of engineering. Following a step-by-step approach, the book will help students master the fundamental concepts and applications of digital signal processing (DSP). Each topic is explained lucidly through abstract mathematical reasoning, illustrations, and solved examples.
Divided into 17 chapters, this book presents the introductory topics such as discrete-time signals and systems, sampling and quantization, convolution, discrete-time Fourier series, discrete-time Fourier transform, and z-transform in a detailed manner. Further, topics such as discrete Fourier transform (DFT), fast Fourier transform (FFT), filter concepts, filter structures, and finite impulse response (FIR) and infinite impulse response (IIR) filter designs are dealt with in detail. It also covers advanced topics such as finite word length effects, multirate DSP, optimum linear filters, and spectrum estimation techniques. Throughout the book, solved examples and MATLAB-based examples are provided.
Table of contents
Chapter 1. Discrete-time Signals and Systems
Chapter 2. Sampling and Quantization
Chapter 3. Convolution and Correlation
Chapter 4. Discrete-time Fourier Series
Chapter 5. Discrete-time Fourier Transform
Chapter 6. The z-Transform
Chapter 7. Filter Concepts
Chapter 8. Discrete Fourier Transform
Chapter 9. Fast Fourier Transform
Chapter 10. Realization of Digital Filters
Chapter 11. Finite Impulse Response Digital Filter
Chapter 12. Infinite Impulse Response Digital Filter
Chapter 13. Analysis of Finite Word Length Effects
Chapter 14. Multirate Digital Signal Processing
Chapter 15. Optimum Linear Filters (Wiener Filters)
Chapter 16. Power Spectrum Estimation
Chapter 17. Introduction to Digital Signal Processors
Features
Provides an understanding of the fundamentals, implementation, and applications of DSP from a practical point of view
Contains mathematical derivations presented in the simplest possible way
Contains more than 600 solved examples with step-by-step solutions interspersed within the text
Includes a section on MATLAB programs at the end of all relevant chapters
Provides numerous end-of-chapter problems and multiple-choice questions (with answers)
Online Resources
The following resources are available to help the faculty and the students using this text:
Faculty Resources
Solutions Manual
Students Resources
Multiple-choice Questions
Additional Solved Examples
Additional MATLAB Examples
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Text Books
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Departmental Library - SOET Reading Hall | Circulation | 621.3822 RAW (Browse shelf) | Available | DE0464 | ||
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Text Books
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Departmental Library - SOET Reading Hall | Circulation | 621.3822 RAW (Browse shelf) | Available | DE0307 |
Digital Signal Processing is a comprehensive textbook designed for undergraduate and postgraduate students of engineering. Following a step-by-step approach, the book will help students master the fundamental concepts and applications of digital signal processing (DSP). Each topic is explained lucidly through abstract mathematical reasoning, illustrations, and solved examples.
Divided into 17 chapters, this book presents the introductory topics such as discrete-time signals and systems, sampling and quantization, convolution, discrete-time Fourier series, discrete-time Fourier transform, and z-transform in a detailed manner. Further, topics such as discrete Fourier transform (DFT), fast Fourier transform (FFT), filter concepts, filter structures, and finite impulse response (FIR) and infinite impulse response (IIR) filter designs are dealt with in detail. It also covers advanced topics such as finite word length effects, multirate DSP, optimum linear filters, and spectrum estimation techniques. Throughout the book, solved examples and MATLAB-based examples are provided.
Table of contents
Chapter 1. Discrete-time Signals and Systems
Chapter 2. Sampling and Quantization
Chapter 3. Convolution and Correlation
Chapter 4. Discrete-time Fourier Series
Chapter 5. Discrete-time Fourier Transform
Chapter 6. The z-Transform
Chapter 7. Filter Concepts
Chapter 8. Discrete Fourier Transform
Chapter 9. Fast Fourier Transform
Chapter 10. Realization of Digital Filters
Chapter 11. Finite Impulse Response Digital Filter
Chapter 12. Infinite Impulse Response Digital Filter
Chapter 13. Analysis of Finite Word Length Effects
Chapter 14. Multirate Digital Signal Processing
Chapter 15. Optimum Linear Filters (Wiener Filters)
Chapter 16. Power Spectrum Estimation
Chapter 17. Introduction to Digital Signal Processors
Features
Provides an understanding of the fundamentals, implementation, and applications of DSP from a practical point of view
Contains mathematical derivations presented in the simplest possible way
Contains more than 600 solved examples with step-by-step solutions interspersed within the text
Includes a section on MATLAB programs at the end of all relevant chapters
Provides numerous end-of-chapter problems and multiple-choice questions (with answers)
Online Resources
The following resources are available to help the faculty and the students using this text:
Faculty Resources
Solutions Manual
Students Resources
Multiple-choice Questions
Additional Solved Examples
Additional MATLAB Examples
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