Evaluation of Gabor Transform Filter Threshold Identified by Initial Highest Inter-Cluster Distance Probability

Abstract:

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Gabor transform is very suitable for time-frequency analysis and good for filtering non-stationary signals. The threshold of the Gabor transform filter is a key factor for the filter’s effectiveness. A novel threshold based on initial highest inter-cluster distance probability (IH-ICDP) is described in this paper and it can make the filter more efficient. Some experiments have been carried out under several conditions to evaluate the new threshold’s characteristics. The experimental results show that Gabor transform filter with this proposed threshold works better than wavelet transform filter, especially when the signal’s SNR is very low. From the evaluation results, it is possible to consider that the threshold presented is optimal or nearly optimal.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1166-1169

DOI:

10.4028/www.scientific.net/AMR.204-210.1166

Citation:

D. Fan et al., "Evaluation of Gabor Transform Filter Threshold Identified by Initial Highest Inter-Cluster Distance Probability", Advanced Materials Research, Vols. 204-210, pp. 1166-1169, 2011

Online since:

February 2011

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$35.00

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