DocumentCode :
3271202
Title :
Use of generalized Taylor series expansion
Author :
Tehrani, Rouzbeh ; Ludeman, Lonnie C.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA
Volume :
2
fYear :
1992
fDate :
10-13 May 1992
Firstpage :
979
Abstract :
Presents a class of orthonormal basis functions which is based on a generalization of the Taylor series expansion. Several examples are given showing the capabilities of this class of expansion for applications in exponential approximation. The generalized Taylor series expansion (known as the Bürmann series) is also shown to be useful in representing dilated and translated versions of a signal with little error using a single function. The Bürmann expansion is also shown to be useful in providing an alternative approach to the wavelet and Gabor transform. It is more efficient than the ordinary power series in small term approximations to exponential signals
Keywords :
series (mathematics); signal detection; Bu¨rmann series; exponential approximation; exponential signals; generalized Taylor series expansion; orthonormal basis functions; small term approximations; Animals; Application software; Equations; Fourier transforms; Frequency; Humans; Machine vision; Open systems; Taylor series; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
Type :
conf
DOI :
10.1109/ISCAS.1992.230056
Filename :
230056
Link To Document :
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