| Summary: | 碩士 === 國立交通大學 === 電子研究所 === 84 === In this thesis, to reduce the computation complexity,we
discuss a new effi- cient LMS adaptive filtering algorithm ( the
Chen's algorithm ) in more detail about the properties of
stability and its variants. An extrapolated LMS adaptive
filtering algorithm is also proposed here to speed up the
rate of convergence. For stability and small excess mean square
error considerations, the ELMS algorithm converges much faster
than LMS algorithm, at the cost of minor extra computation.
For practice , we study the North American Digital Cellular
(NADC, IS-54 standard) system. A low complexity Multiple
Training and Multiple Tracking LMS ( MT - MT LMS) is presented
here in order to match the recommended minimum performance
specification. An implementation is then given with the help of
CAD tools (Dsp Station).
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