"Digital Signal Processing: An Introduction with MATLAB and Applications" by Zahir M. Hussain, et al.

This book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing.

Part I presents the basics of analog and digital signals and systems in the time and frequency domain., and covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production.
Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis.
Part III presents some selected advanced DSP topics.

Contents
Preface
Acronyms, Symbols and Abbreviations
Part I Theory and Selected Applications
1 Analog Signals and Systems
2 Discrete and Digital Signals and Systems
Part II Applied Signal Processing
3 Selected Topics in Applied Signal Processing
Part III Advanced Topics
4 The Impact of Finite Wordlength Implementation
5 Multirate Digital Signal Processing
Appendix A: Tutorials
Appendix B: Miscellaneous Exercises
Appendix C: Tables and Formulas
Appendix D: DSP Lab Experiments
Authors' Biographies