Digital Signal Processing and Analysis
by Jeff Fessler
Publisher: University of Michigan 2004
Number of pages: 243
Course objectives: 1. to teach students the concepts of discrete-time signals, including mathematical representations, properties, frequency content, and aliasing; 2. to teach students the concepts of linear time-invariant discrete-time systems, including representations, properties, convolution relationship, and analysis techniques based on Fourier and Z transforms; 3. to introduce the concepts of filter design.
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by Sophocles J. Orfanidis
In this edition the emphasis is on real-time adaptive signal processing, eigenvector methods of spectrum estimation, and parallel processor implementations of optimum filtering and prediction algorithms, and including several new developments.
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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.
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An overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. The book covers recent advances in Kalman filtering theory and applications in electrical engineering and other areas.