A novel method to derive explicit KLT kernel for AR(1) process

Mustafa U. Torun, Ali N. Akansu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages5701-5705
Number of pages5
DOIs
StatePublished - Oct 18 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: May 26 2013May 31 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
CountryCanada
CityVancouver, BC
Period5/26/135/31/13

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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