DocumentCode :
1427751
Title :
Root moments: a digital signal-processing perspective
Author :
Stathaki, T.
Author_Institution :
Signal Process. & Digital Syst. Sect., Imperial Coll. of Sci., Technol. & Med., London, UK
Volume :
145
Issue :
4
fYear :
1998
fDate :
8/1/1998 12:00:00 AM
Firstpage :
293
Lastpage :
302
Abstract :
The use of cepstral parameters is gaining importance in many areas. However, their introduction is usually through an approach which often mars their simplicity and beauty. The differential cepstrum is an important variant of this class of signal transformations. It has been defined in terms of the logarithmic derivative of the z transform of a given signal. However, a more useful approach is through the Cauchy residue theorem, which yields additional insight and properties. The entire concept and additional properties may be developed in a way that leads naturally to the celebrated Newton identities. These identities are developed and elaborated in the paper. Furthermore, they are employed innovatively in signal-processing problems, including the determination of the minimum phase component of a signal, a stability test for linear systems and the detection of abrupt changes in a signal
Keywords :
Newton method; Z transforms; cepstral analysis; polynomials; signal detection; signal processing; stability; Cauchy residue theorem; Newton identities; abrupt changes detection; cepstral parameters; differential cepstrum; digital signal-processing; linear systems; logarithmic derivative; minimum phase component; root moments; signal transformations; stability test; z transform;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:19982148
Filename :
715335
Link To Document :
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