The Theory of Linear Prediction
by P. Vaidyanathan
Publisher: Morgan and Claypool Publishers 2008
Number of pages: 198
Linear prediction theory has had a profound impact in the field of digital signal processing. Although prediction is only a part of the more general topics of linear estimation, filtering, and smoothing, this book focuses on linear prediction. The theory of vector linear prediction is explained in considerable detail and so is the theory of line spectral processes.
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by Brad Osgood - Stanford University
This text is appropriate for science and engineering students. Topics include: Periodicity and Fourier series; The Fourier transform and its basic properties; Convolution and its applications; Distributions and their Fourier transforms; etc.
- Xilinx, Inc.
The book for DSP designers who want to tap the power of the Virtex-4 XtremeDSP Slice. It provides a description of the features of the slice as well as multiple examples that show you how to harness the power and flexibility of this IP block.
by Jeff Fessler - University of Michigan
Course objectives: 1. to teach students the concepts of discrete-time signals, including mathematical representations; 2. to teach students the concepts of linear time-invariant discrete-time systems; 3. to introduce the concepts of filter design.
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.