Ebook: Digital Signal Processing: An Introduction with MATLAB and Applications
- Genre: Mathematics // Applied Mathematicsematics
- Tags: Signal Image and Speech Processing, Circuits and Systems
- Year: 2011
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
In three parts, 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. It 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.
In three parts, 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. It 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. This book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. 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 other vers http://libgen.org/book/index.php?md5=396d40fdf533141709b9843bdead1fbf
In three parts, 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. It 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.