Digital Signal Processing
Price: 1250.00 INR
ISBN:
9780198081937
Publication date:
16/12/2014
Paperback
1100 pages
242.0x185.0mm
Price: 1250.00 INR
ISBN:
9780198081937
Publication date:
16/12/2014
Paperback
1100 pages
242.0x185.0mm
First Edition
Tarun Kumar Rawat
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.
Suitable for: Digital Signal Processing is a comprehensive textbook designed for undergraduate and postgraduate students of engineering.
Rights: World Rights
First Edition
Tarun Kumar Rawat
Description
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.
First Edition
Tarun Kumar Rawat
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
First Edition
Tarun Kumar Rawat
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
First Edition
Tarun Kumar Rawat
Description
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.
Read MoreTable 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