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Based on wavelet analysis method and Hilbert envelop demodulation, a method for the fault diagnosis of rolling bearings is proposed in this paper. The local Hilbert demodulation and local wavelet transform are introduced respectively. The wavelet transform is used to translate vibration signals into time-scale representation. Then, an envelope signal can be obtained by envelop spectrum analysis of...
A methodology is proposed to segment and label the fundamental activities, namely the first and second heart sounds, S1 and S2, of the phonocardiogram (PCG). Information supplementary to the PCG, such as a cue from a synchronously acquired electrocardiogram (ECG), subject-specific prior information, or training examples regarding the activities, is not required by the proposed methodology. A bank...
A methodology is proposed to segment and label the fundamental activities, namely the first and second heart sounds, S1 and S2, of the phonocardiogram (PCG). Information supplementary to the PCG, such as a cue from a synchronously acquired electrocardiogram (ECG), subject-specific prior information, or training examples regarding the activities, is not required by the proposed methodology. A bank...
This paper proposed a new time-scale representation-"the wavelet spectral correlation function (WSCF)", and analyzed the property and the relation between SCF and WSCF. Based on the analysis of WSCF of fractal stochastic noise and WGN and the SCF of WGN, the property of fractal stochastic noise in the WSC domain is studied. Considering the actual sea clutter, a fractal noise AM-FM model...
The β-wave of the binaural interaction component (BIC) in auditory evoked brainstem responses has been shown to be an objective measure of binaural interaction. However, a reliable and automated detection of this component capable of clinical use still remains a challenge. In this study, wavelet based time-scale representations of auditory evoked brainstem responses were investigated for the analysis...
Visual Evoked Potentials (VEP) are analyzed with the continuous wavelet transform (CWT). The modulus of the wavelet transform of the signal is calculated and represented in the time-scale domain. Based on the first-order derivative of the Gaussian function chosen as the wavelet, the modulus representation allows a clear-cut discrimination between normal and pathological cases. By processing a set...
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