Synopsis
The order in which the subject matter is presented enables students to make an easy transition from continuous signals and systems to their discrete–time counterparts. A general introduction to terminology and a description of digital filters is followed by a review of continuous filter design. Subsequent chapters deal with sampling theorem and the z–transform; design of recursive digital filters; finite–impulse response and nonrecursive filters; basic concepts in probability theory and random processes; and the methods of design and analysis of the Kalman filter. Contains worked analytical examples, diagrams and problem sets.
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Synopsis
The field of digital filtering deals with the minimization of noise through the analysis and design of digital filters. The similarities and differences of discrete and continuous systems are emphasized in this text to provide the student with a broader understanding of the subject. Many practical examples illustrate the materials.
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Digital Filtering: An Introduction
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