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用于分类的主判别变量算法(principal discriminant variate algorithm) ( principal discriminant variate algorithm for two classes, x1 and x2. x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample. x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample. lamda is the penalty weight defining the balance between FLDA and PCA. dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2. dv is the principal discriminant variates. scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate. xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction. )

LMSNewton算法，自适应，权值迭代及权值的绘图。(failed to translate)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

220v交流（boost）升压电路,PID控制算法(220v AC (boost) boost circuit)

说明：  基于MATLAB SIMULINK的电力系统建模，仿真效果不错，欢迎借鉴。(Based on MATLAB Simulink power system modeling, simulation effect is good, welcome to learn.)

IEEE上关于人耳图像识别的论文：使用改进的非负矩阵分解的人耳识别(Ear Recognition using Improved Non-Negative Matrix Factorization )

说明：  使用MATLAB的线性卷积的文件实现两个指数函数卷积并输出结果100个点。(Using the MATLAB implementation of linear convolution of two exponential functions file convolution and the output of 100 points.)

mascara binaria y filtrado

此文档提供了信号与系统参考答案，里面有计算过程(This document provides signal and system reference to the answer, which has a calculated process)

根据NRW方法推导出计算超材料等效参数的方法，由CST仿出S11,S21并导出S11,S21的复数形式，利用matlab调用，就可以算了介电常数和磁导率(By S11, S21 calculate dielectric constant and magnetic conductivity)