Spatial linear predictive coding and its error matching for signal classification

Pham, Tuan D. (2006) Spatial linear predictive coding and its error matching for signal classification. In: Proceedings of the 8th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering, pp. 276-281. From: MMACTEE 06 8th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering, 16-18 October 2006, Bucharest, Romania.

[img] PDF (Published Version)
Restricted to Repository staff only

View at Publisher Website: http://www.wseas.us/e-library/conference...

Abstract

Mathematical analysis of the behavior of general dynamic systems based on linear prediction plays an essential role in many fields of science and engineering concerning the processing and representation of complex signals. This paper addresses the parameter estimation of the all-pole model of the linear predictive coding in the sense that the signal has both deterministic and random properties. Estimate of the model variance error is used as a basis for the derivation of a spatial distortion measure which can be used for matching spectral patterns.

Item ID: 4385
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: prediction coding; signal processing; linear prediction; geostatistics; error matching; distortion measure; classification
Related URLs:
ISBN: 960-8457-54-8
ISSN: 1790-5117
Date Deposited: 21 Sep 2009 02:02
SEO Codes: 92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 100%
Downloads: Total: 10
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page