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DIGITAL SIGNAL PROCESSING: SIMPLIFIED

Author(s) Dilip S Mali
Year of Publication 2014
Edition First
Pages 315
Cover Type Soft Cover
Size 7" x 9"
ISBN-13 978-81-87972-83-9

Availability: In stock

List Price: ₹250.00

Discount: 20%

Net Price ₹200.00

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About the Book

About The Book

This book presents concepts of Digital Signal Processing (DSP) using a large number of well designed and illustrative solved problems. The book covers all the aspects of Digital Signal Processing, starting from the basics, its applications and limitations, discrete-time signals & systems, frequency domain analysis, Z transform, DFT and FFT, the design of analog and digital filters and realizations of digital filters. An attempt is made to introduce newer concepts of DSP with the help of MATLAB programs. The lucid and cogent presentation of the concepts and a large number of solved problems make the book easy to understand and will help students to familiarise themselves with the subject rapidly. The MATLAB programs will help readers to correlate the theoretical and practical aspects.

Features:

  • Precise and easy to understand presentation of the subject with the help of a number of solved problems.
  • Plenty of MATLAB programs Included.
  • Additional exercises at the end of each chapter to allow the students to practice further.
  • Thorough coverage of the subject: from basics to practical aspects.
  • Allows a better understanding of DSP through a number of examples.
  • Separate chapters on 'Introduction to Digital Signal Processors' and 'Applications of Digital Signal Processing in Science and Technology'.
Contents

Contents

  1. Introduction to Digital Signal Processing:  Introduction, What is Digital Signal Processing? Basic Elements of Digital Signal Processing system, Advantages of Digital Signal Processing over Analog Signal Processing, Applications of Digital Signal Processing, Limitations of Digital Signal Processing.

  2. Fundamentals of Discrete-time Systems: Introduction, Basic definitions, Important Discrete-time signals, Some other important sequences, Basic operations on signals, Discrete-time systems, Convolution theorem, Bounded Input-Bounded Output stability, Causality, Linear Constant Coefficient Difference (LCCD) Equations, Finite Impulse Response (FIR) and Infinite Impulse Response (IIR).

  3. Frequency Domain Representation of Discrete-time Signals and Systems: Introduction, Discrete-time Fourier series, Discrete-time Fourier Transform, Fourier Transform of Some Standard Signals, Properties of Fourier Transform, Sampling process.

  4. Discrete Fourier Transform: Introduction, Continuous-time Fourier series, Discrete-time Fourier series, The Discrete Fourier Transform, Properties of Discrete Fourier Transform, Computation of Discrete Fourier Transform, Fast Fourier Transform (FFT), Decimation-in-time FFT algorithm (DIT-FFT or Radix 2-FFT), Decimation-in-frequency FFT (DIF FFT), Inverse DFT Computation, Relationship between DFT-FT.

  5. The Z-Transform: Introduction: Definition of the Z-transform: Advantages of Z-transform; Z-transform of some useful sequences: Properties of Z-transform: Inverse Z-transform: The Complex Inversion Integral Method: Partial fraction method, Inverse Z-transforms by long division, Relationships with system representation, Relationship between Fourier Transform and Z Transform, Relationship between Discrete Fourier Transform  and Z Transform

  6. Design of Analog Filter: Introduction, Butterworth filters, Chebyshev Filter, Elliptic filters, Frequency transformations.

  7. Digital Filter Design: Introduction, Basics of Digital filters, Advantages of Digital filters, Limitations of Digital filters, Discrete-time filters, Design of IIR filters, Design using Numerical solutions to Differential Equations, Design using Bilinear Transformation, Design using Digital-to-Digital transformation, Design using Impulse Invariant Method, Design of FIR filters, Design of FIR filters using windows.

  8. Realization of Digital Filters: Introduction, Describing Equation and System transfer function, Digital filter Structures, Basic structure for FIR system, Direct Form of Realization of FIR system, Cascade form realization of FIR systems, Frequency sampling structure, Lattice Ladder structure, Basic structures of IIR systems, Direct form structure for IIR systems, Cascade form of realization, Parallel form.

  9. Introduction to Digital Signal Processors: Introduction: Computer Architecture: ADSP21XX family, TMS320 family, Comparison between microprocessor and DSP processor.

  10. Application of Digital Signal Processing: Application in Image processing: Application in Speech recognition: Application in RADAR: Application in Speech synthesis: Application in Echo cancellation: Application in Telephone dialing system

About the Author

About the author

Dr. Dilip Mali is presently working as Associate Professor and Chair, Department of Electrical and Computer Engineering, Ethiopian Institute of Technology (EiT-M), Mekelle University, Mekelle, Ethiopia. Dr. Dilip Mali started his teaching career as a lecturer in the Dept. of Electronics, Shivaji University, Kolhapur, Maharashtra, India. He has been teaching courses such as Introduction to Communication Systems, Signal and Systems, Digital Signal Processing, Advanced Signal Processing, Stochastic Processes, Digital Communication, Satellite Communications, Optical Communications to undergraduate and post-graduate students.

He has more than 15 years of post-graduate teaching and research experience. His research interests are digital signal processing and advanced communication technologies. He has published several papers in national and international journals and presented papers at a number of conferences. He has co-authored two books entitled C Application Programs and Projects and Illustrated Programming with C++ published by Penram International Publishing (India) Pvt. Ltd. Mumbai.

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Key features

Key features

  • Precise and easy to understand presentation of the subject with the help of a number of solved problems.
  • Plenty of MATLAB programs Included.
  • Additional exercises at the end of each chapter to allow the students to practice further.
  • Thorough coverage of the subject: from basics to practical aspects.
  • Allows a better understanding of DSP through a number of examples.
  • Separate chapters on 'Introduction to Digital Signal Processors' and 'Applications of Digital Signal Processing in Science and Technology'.
Readership

Readership

Students of Electrical and Electronics related courses in Engineering, Technology & Sciences.

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