Fractal singular value neighbor distance is brought forward based on fractal neighbor distance. Fractal coding and local singular value decomposition are used to improve the recognition rate.
在分形近邻距离的基础上，提出了分形奇异值近邻距离，并把分形编码和局部奇异值分解结合起来，提高了识别率。
Since the decomposition is based on the local characteristic time scale of the data, it is applicable to nonlinear and non-stationary processes.
由于分解是基于信号时域局部特征的，因此它特别适合用来分析非线性非平稳过程。
Based on wavelet decomposition this paper presented a fusion algorithm, which extracted the local edge info in subband images as fusion rule and fused two leather images with complementarity.
基于小波分解，提出了一种融合算法，该算法在小波分解的子带图像中提取局部边缘信息作为融合规则，较好的实现了两幅互补皮革图像的融合。
The Local biorder-convexity is a base of the biordering positive decomposition of linear functionals.
拓扑线性空间的局部双序凸性，是该空间上连续线性泛函实现双序正分解的基础。
After signal local wave decomposition, the information entropy according to time-frequency distribution was established, and it was used as characteristic parameter for fault recognition.
对信号进行局域波分解后，建立基于时频分布的信息熵，以此作为故障识别的参数。
The research is helpful to the improvement of local wave decomposition algorithm and the applications of local wave analysis.
对局域波分解算法的改进和局域波分析的应用具有参考价值。
By conjoining the wavelet coefficient absolute value with the local area energy, a new image fusion algorithm is proposed based on the techniques of wavelet decomposition.
在小波分解的基础上，将小波系数绝对值与局部能量二个激活度量相结合，提出了一种新的小波图像融合算法。
Since the decomposition bases can vary with the local features of dynamic signals, the method is adaptive , therefore, highly efficient for describing nonlinear and non?stationary signals.
它的分解基是随动态信号波形的变化而变化 ，具有自调节自适应的特征 ，因此能在时频域内描述非平稳非线性信号的局部特性。
The local wave decomposition method is a new method to analyse instability and nonlinearity.
而局域波分解法是一种新的分析非平稳、非线性的工具。
The local wave decomposition method is a new method to analyse instability and nonlinearity.
而局域波分解法是一种新的分析非平稳、非线性的工具。
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