DocumentCode
294756
Title
Statistical study of reflection coefficients derived from a random AR process
Author
Tourneret, Jean-Yues ; Lacaze, Bernard
Author_Institution
GAPSE, ENSEEIHT, Toulouse, France
Volume
3
fYear
1995
fDate
9-12 May 1995
Firstpage
1709
Abstract
Being linked by non-linear relations, the AR parameters and reflection coefficients cannot both be Gaussian. However, a statistical study can show that these two sets of parameters are Gaussian asymptotically. The aim of this paper is to show that the convergence rate of the reflection coefficient distribution to the Gaussian one depends on the position of the AR model poles in the unit circle. An analysis of the reflection coefficient Taylor expansion around the AR parameters is proposed to determine this convergence rate
Keywords
Gaussian distribution; autoregressive processes; convergence of numerical methods; random processes; signal processing; statistical analysis; AR model poles; AR parameters; Gaussian distribution; Taylor expansion; convergence rate; nonlinear relations; random AR process; reflection coefficient distribution; reflection coefficients; signal processing; statistical study; unit circle; Convergence; Estimation theory; Gaussian processes; Parameter estimation; Pattern recognition; Quantization; Reflection; Signal processing; Statistics; Taylor series;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.479935
Filename
479935
Link To Document