cross_corr_error

SkewT分布是近年来得到广泛使用的一种参数化分布。区别于传统的正太分布、学生-t分布，SkewT分布除了具有厚伟特征之外，还引入了偏斜特征。该分布对于金融领域的研究与应用具有十分重要的价值。当然，也是一个重要的统计工具。SkewT分布由Bruce E. Hansen(1994)构造，本源码包括SkewT分布的密度函数、累计概率、随机数生成、理论矩。(SkewT distribution has been widely used recently. Different from traditional Normality and Student-t distribution, SkewT parameterizes both tail-thickness and skewness. SkewT is valuable to financial applications and studies, and other statistic tool. SkewT is firstly introduced by Bruce E. Hansen(1994). This package includes M files on the density of SkewT, CDF, random number generator and theoretical moments of SkewT.)

Matlab绘图知识，各种命令的使用方法(matlab knowledge ,the usage of various orders)

本程序采用的是基于matlab的PQ分解法潮流计算，程序主要分为三个部分：第一部分用于生成系统的节点导纳矩阵。第二部分主要进行潮流系统的迭代运算。第三部分主要用于对程序最后输出结果的计算，如电压的幅值，相角，功率分布等。(This procedure is used in matlab the PQ decomposition method based on flow calculation, the program is divided into three parts: The first part of the node admittance matrix used to generate the system. The second part of the iteration trend system. The third part is mainly used for the calculation of the final output of the program, such as the amplitude of the voltage, phase angle, power distribution.)

some matlab example for beginers

用于信号调制的函数，可对自然码和格雷码的性能进行比较。(Function for signal modulation of natural code and gray code)

本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。(This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB® . The issues that were considered are 1) Can Matlab, be effectively used to complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a parametric modelling technique as compared to other modelling technique and 5) Can a Matlab® based Speech recognition system be ported to a real world environment for recording and performing complex voice commands. The aforementioned system is designed to recognize isolated utterances of digits 0-9. The system is developed such that it can easily be extended to multisyllabic words as well.)

A 10th order FIR system, excited by a sum of 5 sinusoids. Assume any numeric values for system coefficients and input signal parameters. The output of the system is corrupted by Gaussian observation noise with zero mean and variance 2 σ v (consider 2 σ v = 0.1 and 1). The estimator has access to the input and noise corrupted output of the system. However, the estimator has no knowledge about the system order, its coefficient values and observation noise variance.

说明：  三相光伏逆变之电流环+PI控制仿真simulink仿真(The three-phase PV inverter current loop control simulation simulink simulation+ PI)

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

matlab中用于进行fourier变换的GUI程序(matlab in fourier transform used for GUI program)