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This paper proposes a multi-feature extraction algorithm aiming to recognize disturbances by analyzing synchrophasor data from wide-area monitoring systems. The novel algorithm utilizes wavelet transform (WT) to extract preliminary features from synchrophasors. Two types of features are created by organizing scaling coefficients and wavelet coefficients from WT. The multi-features are compressed by...
In order to enhance the effect of existing wavelet denoising and determine beginning-ending points of each syllable in continuous speech, the thesis improves algorithms based on fractal theory. Firstly, the algorithm use dynamic threshold algorithm which combines fractal dimension with wavelet transform to denoise the speech signal; on this basis, the paper design an algorithm which is based on fractal...
For wavelet transferred image, there is great relevance between sub-bands with the same direction but different resolutions. A considering to this characteristic, this algorithm adopts diverse error thresholds as well as searching steps when fractal searching is made. Great searching steps along with small error thresholds apply to high frequency sub-bands, while the contrary is suitable for low ones...
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