The Fourier Transform and its Applications
by Brad Osgood
Publisher: Stanford University 2009
Number of pages: 428
This text is appropriate for students from across the engineering and science disciplines. Topics include: Periodicity and Fourier series; The Fourier transform and its basic properties; Convolution and its applications; Distributions and their Fourier transforms; Sampling and interpolation; Linear systems; The discrete Fourier transform; Higher dimensional Fourier transforms and applications.
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by Julius O. Smith III - DSPRelated.com
This book was developed for a course entitled 'Signal Processing Methods in Musical Acoustics'. The text was created primarily as a research preparation and dissemination vehicle intended for graduate students in computer music and engineering.
by G. Larry Bretthorst - Springer
This work is a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis.
by B.D.O. Anderson, J.B. Moore - Prentice-Hall
This graduate-level text augments and extends studies of signal processing, particularly in regard to communication systems and digital filtering theory. Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; etc.
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In this volume the author covered what should be standard topics in a course of parametric estimation: Bayes estimates, unbiased estimation, Fisher information, Cramer-Rao bounds, and the theory of maximum likelihood estimation.