DocumentCode :
1881104
Title :
Zero modeling error (ZME) at the meeting point of LPC and SVD analysis
Author :
Dologlou, I. ; Carayannis, G.
Author_Institution :
Dept. of Electr. Eng., Nat. Tech. Univ. of Athens, Zographou, Greece
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
3397
Abstract :
The frequency analysis of a signal is considered. Although the classical approach based on the representation of a signal in terms of complex exponentials has its merit, an alternative approach aiming to represent a signal by a sum of exponential functions is also interesting. An exact solution to this problem is found at the meeting point of linear predictive coding (LPC) and modeling techniques based on the singular value decomposition (SVD) analysis. Further insight in the structural analysis of a signal is provided. The rank of a signal is defined, and it is shown that full recovery of finite rank data from an incomplete set is always possible
Keywords :
encoding; filtering and prediction theory; frequency-domain analysis; signal processing; LPC; SVD; exact solution; exponential functions; finite rank data; frequency analysis; incomplete set; linear predictive coding; modeling techniques; signal rank; singular value decomposition; speech signals; structural analysis; sum; zero modelling error; Computer errors; Computer science; Covariance matrix; Discrete Fourier transforms; Frequency domain analysis; Linear predictive coding; Matrix decomposition; Signal analysis; Signal processing; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.150183
Filename :
150183
Link To Document :
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