dynamicfeedforwardcontrol

说明：  MATLAB6.0数学手册-第2章，一本易于掌握的数学手册，内容由浅入深，对于初学者能很快掌握。(MATLAB6.0 the math manual- Chapter 2, a mathematical manual is easy to grasp, easy-to-digest content for beginners can quickly master.)

its an rectifier circuit with PWM PI control technique for high accuracy and better output with very low THD.

machine learning 方面有关于Bayesian Regression的资料，语言是python(There are aspects of machine learning Bayesian Regression information about language is python)

此为基于二代提升小波的阈值压缩算法源码，其中可以设置小波变换的分解层数，使用的小波名称，及各层阈值设置计算公式中的参数。并将低频系数转化为十六进制，方便在其上进一步压缩，如采用Huffman压缩等，程序思路清楚，附有完整的注释，可以使用多种小波，并且很好得体现了二代小波的思想，对于初学小波者帮助很大。(based on the second generation of this upgrade wavelet compression algorithm threshold source, which can set wavelet transform decomposition level, the use of wavelet name, threshold levels and set the formula for calculating the parameters. And low-frequency coefficients into hexadecimal facilitate its further compression, such as the Huffman compression. procedures ideas clearly, with the integrity of the Notes, you can use a variety of wavelet, and reflected very well in the second generation wavelet thinking, For beginners who wavelet of great help.)

高准确度,支持50Hz/60Hz IEC 687/1036 标准的准确度要求,在500:1 的动态范围内误差小于0.1 (High accuracy, supports 50Hz/60Hz IEC 687/1036 standard accuracy requirements, the 500:1 dynamic range of error is less than 0.1 )

matlab源程序： 用Fisher两类判别法对样本进行分类 对样本进行主成分分析 用最短距离算法的系统聚类对样本进行聚类 用二次完全式回归法估计一个因变量与两个自变量之间的关系 (matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest distance clustering algorithm for clustering of samples with the quadratic regression method to estimate a fully dependent variable and two independent variables of the the relationship between the)

对matlab的工作文件夹work里的图像进行二值化的简单程序(The work of the matlab folder work in the binary image of a simple procedure)

This is a matlab code for scalart algorithm implementation (noise straction)

14自由度的车辆模型的建模、仿真及其验证(Modeling, Simulation and Validation of 14 DOF Full Vehicle Model)

AR模型的Yule-Walker方程.1927年，Yule提出用线性回归方程来模拟一个时间序列。Yule的工作实际上成了现代谱估计中最重要的方法——参数模型法谱估计的基础。Walker利用Yule的分析方法研究了衰减正弦时间序列，得出Yule-Walker方程，可以说，Yule和Walker都是开拓自回归模型的先锋。(The Higher-Order Yule-Walker method.)