singlecapacitance

说明：  minFunc工具包，里边包含了逻辑回归及svm的代码，可以直接应用(minFunc kit, and the inside contains the logistic regression svm code, can be directly applied)

VLSI based question set

双馈风电模型基于matlab的仿真模型供大家学习参考下(Doubly-fed wind power model matlab-based simulation model for them to learn to refer to the following)

用于现代信号分析与处理课程，作用是实现K-L变换和DCT变换。(For modern signal analysis and processing programs, the role is to achieve the KL transform and DCT.)

希尔伯特黄变换是，hilbert+emd的综合。本文件是典型的hht的程序(The Hilbert yellow transformation is the synthesis of hilbert+emd. This file is a typical HHT program)

很不错的一段代码，对于ostu阈值分割的理解有很大帮助(Very good piece of code, for ostu segmentation of great help in understanding)

以输入和输出信号的统计特性的估计为依据，采取特定算法自动地调整滤波器系数，使其达到最佳滤波特性的一种算法或装置。自适应滤波器可 自适应滤波器 以是连续域的或是离散域的。离散域自适应滤波器由一组抽头延迟线、可变加权系数和自动调整系数的机构组成。(The input and output signals of the statistical properties of the estimators for the basis, take the specific algorithm automatically adjusts the filter coefficients, so as to achieve the optimal filter characteristics of an algorithm or device. Adaptive filter adaptive filterIs continuous or discrete domain domain. Discrete domain adaptive filter is composed of a group of tapped delay line, a variable weighted coefficient and automatically adjust the coefficients of the mechanism.)

通过强大和安全的形象散列 非负矩阵因式分解，在信息取证与安全，376-390，2007年IEEE交易。NMF-NMF-SQ哈希( V. Monga, and M. K. Mihcak, Robust and secure image hashing via non-negative matrix factorizations, IEEE Transactions on Information Forensics and Security, 2(3), 376-390, 2007. NMF-NMF-SQ Hashing)

PCA的步骤： 1 先将数据中心化； 2 求得的协方差矩阵； 3 求出协方差矩阵的特征值与特征向量； 4 将特征值与特征向量进行排序； 5 根据要降维的维数d’,求得要降维的投影方向； 6 求出降维后的数据； (PCA steps: 1 of the first data center 2 covariance matrix obtained 3 obtained covariance matrix eigenvalues and eigenvectors 4 eigenvalues and eigenvectors will be sorted 5 according to the dimension of dimension reduction d ' , seek to reduce the dimension projection direction 6, the data obtained after the dimensionality reduction )

聚类分析的有效性的视觉方法 VAT DBE(Cluster analysis of the effectiveness of visual methods VAT, DBE)