Structure1_normal

电动机拖动simulink模型，调节pi控制器的参数模拟控制效果，另附程序运行结果图(Drag motor simulink model, adjusting the parameters pi controller analog control results, an additional program to run the results of Figure)

Simulation of Quartz Crystal Resonator using approximation from "Mindlin Plate"

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

Direct torque control based neural netwoek

初学matlab可以参考的一些源代码，可以参照学习(Beginner matlab reference source code)

mean and difference coder(It is a imaging filter.)

cross entropy for function minimization

这是一个matlab的源码。代码实现了刚性及非刚性配准(This is a matlab source. Code implements rigid and non-rigid registration)

实现各种图的网络结构的实现方法，是学习传感器网络的很好的软件(Network structure to achieve a variety of graph realization method is good to learn a software sensor networks)

comp_snr.m总体和节段SNR，comp_wss.m加权频谱斜率度量，omp_llr.m似然比测量，comp_is.m板仓斋藤措施，comp_cep.m倒谱距离测量，addnoise_asl.m 基于活动语音水平以指定的SNR将噪声添加到干净的信号 (comp_snr.m Overall and segmental SNR，comp_wss.m Weighted-spectral slope metric，comp_llr.m Likelihood-ratio measure ，comp_is.m Itakura-Saito measure，comp_cep.m Cepstral distance measure，addnoise_asl.m Adds noise to the clean signal at specified SNR based on active speech level. )