md51

基于DTW的语音情感识别！运行环境MATLAB!(Speech Emotion Recognition Based on DTW! Operating environment MATLAB!)

该程序找到了使用L曲线算法的拐点，是正则化程序中，寻求正则化参数的一种比较好的方法。CORNER Find corner of discrete L-curve via adaptive pruning algorithm.(The program found the algorithm using the L-curve inflection point, is the regularization process, the regularization parameter for a better way. CORNER Find corner of discrete L-curve via adaptive pruning algorithm.)

差分编码的实现、信噪比、误码率等等的实现，并且有截图，比较详细的资料。(Differential encoding implementation, SNR, BER, etc. to achieve, and there are shots, more detailed information.)

计算大型矩阵的MHSS迭代法Matlab程序，该程序包含几个部分。(MHSS iteration method)

说明：  齿轮传动simulink仿真内含行星齿轮传动在一定负载下的仿真模型(You can model the effects of heat flow and temperature change through an optional thermal conserving port. By default, the thermal port is hidden. To expose the thermal port, right-click the block in your model and, from the context menu, select Simscape > Block choices. Select a variant that includes a thermal port. Specify the associated thermal parameters for the component.)

基2－FFT算法的Matlab代码的实现。其中有一个子程序可以用Matlab内部的程序来实现，以提高程序的运算速度。(2-FFT-based algorithm for the realization of Matlab code. There is a subroutine can use Matlab s internal procedures are in place to realize in order to improve procedures for computational speed.)

There is a code for spectrum sensing..in this code roc curve is generated..

输入不大于5位的整数，判断位数，并且正序和逆序输出(Enter an integer not more than 5 to determine the median, and the positive sequence and the reverse output)

采用边界元方法求解电磁响应及系统本征模问题(boundary element method to investigate the eigmode and green function of the EM )

test2: 一、 基本最小二乘法一次算法 二、 基本最小二乘法递推算法 三、 最小二乘遗忘因子一次完成算法 四、 最小二乘遗忘因子递推算法 五、 最小二乘限定记忆算法 六、 最小二乘偏差补偿算法 七、 增广最小二乘算法 八、 广义最小二乘算法 test3: 一、 辅助变量自适应滤波算法 二、 辅助变量纯滞后算法 三、 辅助变量Tally原理算法 四、 多级最小二乘算法 五、 各类改进最小二乘算法的特点 test4: 1、 第二类随机性辨识问题的梯度校正 2、 随机牛顿法 test5: 1、 递推的极大似然估计 2、 预报误差参数辨识 test6: 1、 根据Hankel矩阵秩估计模型阶次(弱噪声) 2、 根据Hankel矩阵秩估计模型阶次(强噪声) 3、 利用行列式比估计模型阶次（白噪声） 4、 利用行列式比估计模型阶次（有色噪声） 5、 利用残差的方差估计模型阶次（白噪声） 6、 利用残差的方差估计模型阶次（有色噪声） 7、 AIV定阶法（白噪声） 8、 AIV定阶法（有色噪声） test7: 1、 一阶惯性+纯滞后环节-----两点法 2、 面积法1 3、 levy法 (test2: First, the basic method of least squares algorithm once Second, the basic recursive least squares algorithm Third, once the forgetting factor least squares algorithm Fourth, the forgetting factor recursive least squares algorithm Fifth, the least-squares algorithm limited memory Six , least squares error compensation algorithm Seven , extended least squares algorithm Eight , generalized least squares algorithm test3: An auxiliary variable adaptive filtering algorithm Second, the auxiliary variable time delay algorithm Third, the principle of auxiliary variable algorithm Tally Fourth, multi-stage least squares algorithm Fifth, the least squares algorithm to improve the characteristics of various types of test4: 1, the second class of stochastic gradient identification problem corrected 2 , randomized Newton test5: 1, the recursive maximum likelihood estimation 2, the prediction error parameter identification test6: 1 , according to the Hankel matrix rank est)