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Analyses the mechanism of detecting the Inter-turn short-circuit in Rotor winding fault with detecting coil, extracts the signal feature with wavelet transform algorithm. Hybrid programming of MATLAB and VC++ used in this paper directly embed MATLAB M document into the VC environment and make them run normally without MATLAB. The signal collecting, system frame constructing and interface drawing can...
Features extraction is crucial for fingerprint recognition, which reflects the superiority and decides the results of algorithm largely. An improved algorithm of fingerprint features extraction is proposed using wavelet transform and coefficient of variation. The coefficients are collected from the different scales and orientations in wavelet transform, and restrained the scales discrepancy owing...
According to the face recognition, the combined algorithm of Fisherfaces and one-against-rest classifiers based on support vector machine is proposed in the paper. First the wavelet transform is used to compress the image dimension and shorten the time of training. After reducing the dimension with PCA algorithm, the Fisher linear discriminative rules are adopted to extract the optimal features of...
In this paper, linking with the basic principle of FCM (Fuzzy c-means clustering) algorithm, on the basis of theory research, a method of the cluster analysis of improved FCM based on wavelet transform is proposed. Firstly, the approximate optimal solution obtained by the improved FCM algorithm is taken as the original value, then combined with intensity-texture-position feature space in order to...
Roof stability prediction features randomness, complexity and instability, and precise prediction places much value on theoretical and practical application. In light of the latest research, this paper, according to complicated nonlinear mapping relation between various influence factors and stability of intensity, turns out that the GA-WNN model of roof stability prediction, with optimized wavelet...
Formation Micro-Resistivity (FMI) is an emerging logging technology in recent years. Although fracture can be directly illustrated in FMI, there is a great subjective factor for the identification of fracture. This paper focuses on the difficulties of avoiding the subjective factor in the fracture identification of FMI using wavelet transform. The resistivity curve of FMI is decomposed by wavelet...
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