Battery-Kalman-master

IDL用于支持向量机（Support Vector Machine, SVM）算法，SVM是一类按监督学习（supervised learning）方式对数据进行二元分类（binary classification）的广义线性分类器（generalized linear classifier）。(IDL is used in Support Vector Machine (SVM) algorithm. SVM is a generalized linear classifier for binary classification of data in supervised learning.)

JS弹出窗口效果，仿微软视窗特效，基于DIV的弹出层效果，每一个都带有最大化、最小化、关闭按钮，而且可以像Windows窗口那样自由拖动，操作体验极佳，不失为一款很好的JS弹出框效果。

说明：  路径规划问题，从起始地点到终点有多条路径，用来确定最短路径(In path planning, there are multiple paths from the starting point to the end point to determine the shortest path)

步进电机位置控制系统的FPGA设计与实现。-Stepping Motor Position Control System Design and Implementation of FPGA.

黑白棋小游戏，用VC++实现，方便简单，下载即可玩-Reversi game with VC++ Realize, so easy to download to play

产生随机六各数字,在1~49各数字之间,每次产生皆不相同-randomly generated six of the figures, in a ~ 49 of the numbers in between, each have the same variance

说明：  声音信号互功率谱密度的matlab程序，可得到两个信号互功率谱密度图像(The matlab program of the cross-power spectral density of sound signals can obtain the image of the cross-power spectral density of two signals.)

说明：  cohen大神的OM-LSA仿真代码 MATLAB software for speech enhancement based on optimally modified LSA (OM-LSA) speech estimator and improved minima controlled recursive averaging (IMCRA) noise estimation approach for robust speech enhancement.(MATLAB software for speech enhancement based on optimally modified LSA (OM-LSA) speech estimator and improved minima controlled recursive averaging (IMCRA) noise estimation approach for robust speech enhancement. The algorithms are described in: I. Cohen and B. Berdugo, Speech Enhancement for Non-Stationary Noise Environments, Signal Processing, Vol. 81, No. 11, Nov. 2001, pp. 2403-2418. I. Cohen, Noise Spectrum Estimation in Adverse Environments: Improved Minima Controlled Recursive Averaging, IEEE Trans. Speech and Audio Processing, Vol. 11, No. 5, Sep. 2003, pp. 466-475. I. Cohen and S. Gannot, Spectral Enhancement Methods, in Jacob Benesty, M. Mohan Sondhi and Yiteng (Arden) Huang (Eds.), Springer Handbook of Speech Processing, Springer, 2008, Part H, Ch. 44, pp. 873-901)

无线通信资源管理中的ADMM算法，ADMM( Alternating Direction Method of Multipliers) 算法是机器学习中比较广泛使用的约束问题最优化方法，它是ALM算法的一种延伸(Alternating Direction Method of Multipliers)

VB仿Windows可显示行号的记事本程序,有需要的下。(VB notepad application in imitation of a Windows to display line Numbers, in need.)