This is a comprehensive textbook that covers both the basic and advanced concepts of signal processing along with MATLAB examples. The level of difficulty kept in the book is based on the challenges faced by students and faculty. In order to strengthen the level of understanding, many numerical examples, and objective type questions are given in each br, Chapter the MATLAB examples will help students to experiment with the various theories of the subject. salient features: 1) covers key topics such as time-frequency representation of signal and multi- resolution signal analysis 2) step-by-step mathematical derivations 3) numerous solved examples, review questions and practice problems 4) MATLAB examples to validate concepts 5) objective type questions based on competitive exams like GATE, IES, etc. 6) lab experiments including MATLAB programs.

Chapter

Chapter 1: Elements of Signal Processing

Chapter 2: Sampling and Quantization

Chapter 3: Discrete-Time Signals and Systems

Chapter 4: Z transform

Chapter 5: Representation and Response of LTI System

Chapter 6: Transforms

Chapter 7: Fast Fourier Transform

Chapter 8: Time-Frequency Representation of Signal

Chapter 9: Linear Time-Invariant Systems as Filters (Web Chapter)

Chapter 10: Design of FIR Filter

Chapter 11: IIR Filter

Chapter 12: Structures for Discrete-Time Systems

Chapter 13: Finite Wordlength Effect

Chapter 14: Multirate Signal Processing

Chapter 15: Power Spectral Density Estimation (Web Chapter)

Chapter 16: Adaptive Signal Processing

Chapter 17: Introduction to DSP Architecture

Chapter 18: Application of Digital Signal Processing