Title :
Root moments: an alternative interpretation of cepstra for signal feature extraction and modelling
Author :
Starthaki, Tania ; Constantinides, A.G.
Author_Institution :
Signal Process. Sect., Imperial Coll. of Sci., Technol. & Med., London, UK
fDate :
Oct. 30 1995-Nov. 1 1995
Abstract :
A new approach for signal modelling that depends on the algebraic properties of the signal under consideration has been developed. It renders many important signal processing problems easily tractable. This article presents the elements of the theory behind such algebraic modelling. The fundamental concepts behind the approach rely on the root-moment properties of polynomials which have been first formulated by Newton and known as the Newton identities.
Keywords :
feature extraction; Newton identities; algebraic modelling; algebraic properties; parameter estimation; polynomials; root-moment properties; signal feature extraction; signal modelling; signal processing problems; Cepstrum; Differential equations; Educational institutions; Feature extraction; Fourier transforms; Parameter estimation; Polynomials; Signal analysis; Signal processing;
Conference_Titel :
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7370-2
DOI :
10.1109/ACSSC.1995.540943
