Study of Gabor Features and Heart Sound Signal Recognition by the Principal Component Analysis

Le Juan Zhang; Lu Zhang; Zhi Ming LI; Shi Yao Cui

doi:10.4028/www.scientific.net/AMM.644-650.4452

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Study of Gabor Features and Heart Sound Signal...

Study of Gabor Features and Heart Sound Signal Recognition by the Principal Component Analysis

Abstract:

Simple cells Gabor wavelet transform and human visual system in the visual stimulus response very similar. It has the good characteristics of the local space in the extraction of target and frequency domain information. Although the Gabor wavelet does not of itself constitute orthogonal basis, but in the specific parameters can form a tight frame. Gabor wavelet is sensitive to the image edge, can provide good direction and scale selection characteristics, but also insensitive to illumination changes, can provide the illumination change good adaptability. These features make Gabor wavelet is widely used in visual information understanding. The two-dimensional Gabor wavelet transform is an important tool for signal analysis and processing in frequency domain in, the coefficient of wavelet transform with the visual characteristics and good biology background, so it is widely used in image processing, pattern recognition and other fields.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4452-4454

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4452

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Online since:

September 2014

Authors:

Le Juan Zhang*, Lu Zhang, Zhi Ming LI, Shi Yao Cui

Keywords:

Gabor Features, Heart Sound Signal Recognition, Principal Component Analysis (PCA), Study, Visual Characteristics

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