An Introduction to Digital Signal Processing
by J. H. Karl
Publisher: Academic Press 1989
The book comprises a one-semester or self-study course, filling the gap between several oversimplified introductions and more topically specialized or formal treatments. Karl's book wins notable points for its easy reading style and its between-the-lines historical awareness. It assumes almost no prior DSP background and the only prerequisites are basic calculus, matrix algebra, and complex variables.
Home page url
Download or read it online for free here:
Download link 1
Download link 2
Download link 3
Download link 4
Download link 5
(multiple PDF files)
by M. Stiber, B.Z. Stiber, E.C. Larson - University of Washington Bothell
The specific topics we will cover include: physical properties of the source information, devices for information capture, digitization, compression, digital signal representation, digital signal processing and network communication.
by Avinash C. Kak, Malcolm Slaney - IEEE Press
A comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging.
by William A. Gardner - Prentice Hall
This book is intended to serve as both a graduate-level textbook and a technical reference. The focus is on fundamental concepts, analytical techniques, and basic empirical methods. The only prerequisite is an introductory course on Fourier analysis.
by R. M. Gray, L. D. Davisson - Cambridge University Press
The book covers basic probability, random objects, expectation, second order moment theory with examples of the random process models and their basic properties, specific applications for communication, estimation, detection, modulation.