DocumentCode :
1680294
Title :
A novel method to derive explicit KLT kernel for AR(1) process
Author :
Torun, Mustafa U. ; Akansu, Ali N.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2013
Firstpage :
5701
Lastpage :
5705
Abstract :
The derivation of explicit Karhunen-Loève transform (KLT) kernel for an auto-regressive order one, AR(1), process has been of a major implementation concern. The main reason is due to difficulties in finding the roots of a transcendental tangent equation as required in the derivation. We propose a novel method to derive explicit KLT kernel for discrete AR(1) process. The merit of the proposed technique is highlighted. The proposed method has a good potential to make real-time KLT applications more feasible in the coming years.
Keywords :
Karhunen-Loeve transforms; autoregressive moving average processes; covariance matrices; signal processing; Karhunen Loeve transform; autoregressive order one; explicit KLT kernel; transcendental tangent equation; Correlation; Eigenvalues and eigenfunctions; Equations; Kernel; Mathematical model; Transforms; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6638756
Filename :
6638756
Link To Document :
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