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.
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.
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).
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.
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.
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
Design of Analog Filter: Introduction, Butterworth filters, Chebyshev Filter, Elliptic filters, Frequency transformations.
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.
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.
Introduction to Digital Signal Processors: Introduction: Computer Architecture: ADSP21XX family, TMS320 family, Comparison between microprocessor and DSP processor.
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
Students of Electrical and Electronics related courses in Engineering, Technology & Sciences.