Digital signal processing
By: Rawat, Tarun Kumar
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Publisher: New Delhi Oxford University Press 2015Edition: 1st.Description: xxvi, 1072p. | Binding - Paperback | 24*18.2 cm.ISBN: 9780198081936.Subject(s): EXTC 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.
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Text Books
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School of Engineering & Technology General Stacks | Reference | 621.3822 RAW (Browse shelf) | Not For Loan | E15007 |
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| 621.382 LAT Communication Systems | 621.3822 BAB Digital signal processing | 621.3822 KAN Signals and systems | 621.3822 RAW Digital signal processing | 621.3822 SHA Signals and systems | 621.3822 SIN Digital signal processing implementations | 621.38275 KEI Optical fiber communications |
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.
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