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Digital Signal Processing: Principles, Algorithms and Applications, by John G. Proakis and Dimitris Manolakis, is a comprehensive book on the basic concepts of discrete-time signals, systems, and modern digital signal processing. This edition has extensive coverage on sampling, multirate digital signal processing and reconstruction of signals. The book also consists of a large number of solved problems on each topic. z-Transform and its applications, frequency analysis of signals, design of digital filters, adaptive filters, sampling and reconstruction of signals, the discrete Fourier Transform and its properties and applications, power spectrum estimation are some of the other topics discussed in this edition. The book is essential for Electronics, Electricals and Computer Science undergraduate and graduate students. About the Authors John G. Proakis is the Electrical and Computer Engineering Professor at the UCSD Jacobs School of Engineering and is associated with the Center for Wireless Communications. He completed his PhD from Harvard. His textbooks have been widely read by many engineering students across the world. He has authored and co-authored books like Fundamentals of Communication Systems, Digital Communications, Contemporary Communication Systems Using MATLAB, Communication Systems Engineering and Discrete-Time Processing of Speech Signals. Dimitris Manolakis completed his PhD in Electronics and Computer Engineering at the Technical University of Crete, Chania, Greece. He is the Professor at the Department of Automation at the Alexander Technological Education Institute of Thessaloniki. He has authored and co-authored books like Digital Signal Processing: Principles, Algorithms and Applications, Applied Digital Signal Processing: Theory and Practice and Introduction to Digital Signal Processing among many other works.