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To improve the limitation of applying traditional fault diagnosis method to the diagnosis of multi-concurrent vibrant faults of aeroengine, a new diagnosis approach combining the wavelet transform with fuzzy theory is proposed. A novel method based on the statistic rule is brought forward to determine the threshold of each order of wavelet space and the decomposition level adaptively, increasing the...
In this paper, we propose an effective method based on fractal dimension calculation by the area cover for extraction of shift invariant multiwavelet features of texture images. The feature extraction process involves a normalization followed by a shift invariant multiwavelet packet transform. The normalization converts a given image into a size invariant image which is then passed to the shift invariant...
To improve the limitation of applying traditional fault diagnosis method to the diagnosis of multi-concurrent vibrant faults of aeroengine, a new diagnosis approach combining the wavelet transform with fuzzy theory is proposed. A novel method based on the statistic rule is brought forward to determine the threshold of each order of wavelet space and the decomposition level adaptively, increasing the...
Video indexing technique is crucial in multimedia applications. In the case of HD (high definition) video, the principle of scalability is of great importance. The wavelet decomposition used in the MJPEG2000 provides this property. In this paper, two descriptors for indexing of HD video are presented. The first one is based on the GM (global motion) of the video and the correlation matrix is used...
In this paper, two-step separation technique based on subband QR factorization is introduces. The first step is the sphering step and the second step is the rotation step. The sphering matrix is estimated from the time representation of the mixture signals but the rotation matrix is estimated in the wavelet domain of the whitened mixture-signal. The conventional sphering method is used while the rotation...
A new combined fault diagnosis approach for turbo-generator set based on wavelet fuzzy network is proposed. The wavelet transform is used to extract fault characteristics and neural network is used to diagnose the faults. To improve the performance of applying traditional fault diagnosis method to the vibrant faults, a novel method based on the statistic rule is brought forward to determine the threshold...
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