DocumentCode
302127
Title
A robust representation of linear prediction coefficients
Author
Pillai, S. Radhakrishnan ; Antoniou, Andreas
Author_Institution
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
Volume
2
fYear
1996
fDate
12-15 May 1996
Firstpage
53
Abstract
A new robust parametric formulation to predictive coding is introduced. The linear prediction filter coefficients are transformed here 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 is shown to be always stable under quantization
Keywords
Toeplitz matrices; filtering theory; prediction theory; filter coefficients; linear prediction coefficients; quantization; robust parametric formulation; weighted line frequencies; Autocorrelation; Filters; Frequency; Linear predictive coding; Mean square error methods; Polynomials; Predictive coding; Quantization; Robustness; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-3073-0
Type
conf
DOI
10.1109/ISCAS.1996.540350
Filename
540350
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