hammingcode(tansfervoice)

很好的一篇OFDM论文（含MATLAB代码）(OFDM )

实用的电子书《偏微分方程的MATLAB解法》，是一部介绍常偏分方程的经典著作，偏微分方程必常微分方程更复杂，是研究非线性科学的必备工具书。(Practical e-book )

IIR滤波器的设计方法，以及所有论文资料，谢谢下载，支持网站发展(IIR filter design methods and information of all papers, thank you download support site development)

这篇文章也很不错，是有关DVV滴定的，最近一直在看，希望对感兴趣的朋友有帮助！谢谢！(This article is also very good, is about the DVV titration, has recently been looking at, want to help friends interested! Thank you!)

The PAPR of QAM system is plotted against Complementary cumulative distribution function

天线选择的参考资料，初学者必备！很有用的哦！(Reference antenna selection, beginners must have! Oh, very useful!)

1.常微分方程 2.积分变换 3.多元函数微分(1. Ordinary differential equation 2. Integral transformation 3. Multivariate Function Differentiation)

sine pwm for three phase two level inverter

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

岭回归分析（Ridge regression）是一种专用于共线性数据分析的有偏估计回归方法，这套源码是对ridge regression算法的一种实现，附有测试实例(Ridge regression (Ridge regression) is a special collinearity data analysis unbiased estimate of the regression method, this set of source code is an implementation of the ridge regression algorithm with test case)