Title :
A robust parametric method for signal reconstruction
Author :
Pillai, S. Radhakrishnan ; Antoniou, Andreas
Author_Institution :
Dept. of Electr. Eng., Victoria Univ., BC, Canada
fDate :
Oct. 30 1995-Nov. 1 1995
Abstract :
In the context of signal reconstruction and coding, a new robust parametric formulation to linear predictive coding (LPC) is introduced. The linear prediction filter coefficients are transformed into a set of weighted line frequencies. The positive weights play the dual role of a new set of parameters and simultaneously they exhibit the relative importance of the associated line frequencies. This new representation for LPC is shown to be always stable under quantization.
Keywords :
filtering theory; linear predictive coding; parameter estimation; quantisation (signal); signal reconstruction; spectral analysis; LPC representation; linear prediction filter coefficients; linear predictive coding; positive weights; quantization; robust parametric method; signal coding; signal reconstruction; weighted line frequencies; Distortion measurement; Frequency; Linear predictive coding; Mean square error methods; Polynomials; Redundancy; Robustness; Signal reconstruction; Speech analysis; Speech coding;
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.1995.540530