i_DBF

多尺度LBP的原代码，用于人脸识别，在orl数据库中的识别率达97 以上。(Multi- scale LBP original code, used in face recognition and the recognition rate of over 97 in orl database.)

本论文为数学建模问题的基金投资模型，在实际问题的分析基础上建立了单纯存款模型等()

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and their gray-level difference simultaneously. By using this factor, the new algorithm can accurately estimate the damping extent of neighboring pixels. In order to further enhance its robustness to noise and outliers, we introduce a kernel distance measure to its objective function. The new algorithm adaptively determines the kernel parameter by using a fast bandwidth selection rule based on the distance variance of all data points in the collection. Furthermore, the tradeoff weighted fuzzy factor and the kernel distance measure are both parameter free. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.

关于33节点的配电网潮流计算程序C++版本(Distribution network power flow calculation program of 33 nodes on the C version)

matlab file newly created

The This snisotropic diffusion tensor filtering package is a free (GPL) MATLAB program that implements the non linear 1D 2D and 3D image and signal processing algorithm. It features an easy-to-use user interface, and a computationally powerful algorithm.

code for how to create of CVSD

matlab控制系统工具箱。一系列经典控制学问题在matlab中的实现(control system toolbox for use with matlab.Examples for control analysis in matlab are given)

说明：  自适应网格划分通用程序包，美国伯克利大学开发的共享软件包。(Adaptive Mesh generic package, the United States developed at the University of Berkeley's share package.)