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
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;
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
DOI :
10.1109/ISCAS.1996.540350
