Kuo, Sen M. (Sen-Maw)
M.S. (Master of Science)
Department of Electrical Engineering
Electronic noise; Acoustic filters
This thesis presents a new rescue technique to stabilize the Fast Transversal Filter (FTF) using the most efficient Recursive Least Squares (RLS) algorithm, and also introduces an active periodic noise cancellation using simplified FTF. 1) The Fast RLS algorithm is very sensitive to numerical error. Since the derivation of the algorithm is based on complete norm space (infinite precision), it is difficult to implement the finite word length Digital Signal Processors (DSPs). From an application point of view, a new rescue method is proposed. 2) The Stabilized FTF is applied to the active, periodic noise-cancellation system. Also, a reduced complexity version of FTF is given which can be implemented on the DSP chip.
Chen, Liang, "Stabilization of fast transversal filter and periodic noise-cancellation application" (1990). Graduate Research Theses & Dissertations. 5032.
vii, 99 pages
Northern Illinois University
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