Springer Digital Signal Processing: An Introduction with MATLAB and Applications

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. Review From the reviews:“Here is a volume of medium size devoted to digital signal processing (DSP). … A table of abbreviations helps the reader to follows the multitude of formulas and symbols. The presentation of the text is very attractive and a lot of examples make the text very user-friendly. … The 53 tutorials (exercises and problems with solutions) are a solid help to the students.  … we consider the present volume an excellent textbook and agree that it will soon become a general reference book on DSP.” (Dumitru Stanomir, Zentralblatt MATH, Vol. 1226, 2012) From the Back Cover 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.