NMF-matlab

分裂场PML吸收层，模拟时谐场，在二维空间的传播。(split PML to simulate the sinsoudal wave )

jakes model explaintion with source code

there are 5 files. the first two codes are written in Matlab as m-files in control system design to show step responses. in contrast, the final three codes are written in verilog ( Quartus II) used in Altera one of them for BCD adder and the other for four to two bits encoder circuit.

一知一组数据，通过matlab求其相应的插值曲线(A known set of data, the corresponding demand by matlab interpolation curve)

turbo码的MATLAB simulaiton 采用硬输出判定 支持qpsk (turbo codes using MATLAB simulaiton qpsk hard output decision support)

用于应用二维数组，生成地震记录剖面，对于地震模型的模拟数据快速生成剖面很有帮助。(A two-dimensional array for application and generates seismic records for seismic model section of analog data generated fast profile is very helpful. )

PSO小波模糊灰色Kohonen 第23章 小波神经网络的时间序列预测——短时交通流量预测208 第24章 模糊神经网络的预测算法——嘉陵江水质评价218 第25章 广义神经网络的聚类算法——网络入侵聚类229 第26章 粒子群优化算法的寻优算法——非线性函数极值寻优236 (PSO &　Kohonen　ｍａｔｌａｂ)

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

对三相电网电压进行无源控制 采用了拉格朗日方程 对负载扰动作了分析(Three-phase grid voltage Passive Control Using Lagrange equation Load disturbance analyzed)

使用超声进行人脸识别分类 face recognition with ultrasonics(The use of ultrasound classification for face recognition face recognition with ultrasonics)