最小二乘拟合，kf

自编边缘提取方法，能够准确的提取边缘，编写简单。(Self-edge detection method, able to accurately extract the edge, simple to prepare.)

光流计算得到运动场。使用算法为Lucas Kanade算法 很好用，大家(Optical flow calculated by the Sports Ground. The use of algorithms for the Lucas Kanade algorithm good use, U.S.)

很好的一个一维条码检测识别源码，作为参考很有用(Very good detection and recognition of a one-dimensional bar code source, as a useful reference)

产生MDPSK信号的matlab源代码，分为4dpsk和8dpsk两种(MDPSK signals generated matlab source code is divided into two 4dpsk and 8dpsk)

matlab编程，实现曲线色彩的修改 (Matlab programming, achieve a modification of the curve color)

IFRS Implementation Guide

代价区间的代价敏感支持向量机，用于代价不能精确获得的情况。(CISVM is a package for learning with cost intervals. It can be used when the precise cost information is not known while cost intervals are available. )

注水算法是根据某种准则，并根据信道状况对发送功率进行自适应分配，通常是信道状况好的时刻，多分配功率，信道差的时候，少分配功率，从而最大化传输速率。本文运用matlab通过对注水算法在mino系统中的三种不同的情况下进行了仿真，比较出在小信噪比时，相同信噪比下利用CSI的功率注水算法获得容量优于未知CSI的平均功率分配算法；相同容量下已知CSI信噪比比未知CSI时的信噪比小3dB.当信噪比增大到一定程度时，功率注水算法所获得的信道容量将收敛到平均功率分配的信道容量。(Water flooding algorithm is based on certain standards, and according to the channel condition to adaptive allocation of sending power, usually is a good moment, channel situation more distribution power, channel is poor, less power distribution, so as to maximize the transmission rate. This paper USES matlab based on water flooding algorithm in Austin system of three different cases are simulated and compared in small SNR, under the same SNR use CSI power allocation algorithm for capacity is superior to the average power allocation algorithm of unknown CSI Same capacity known CSI signal-to-noise ratio than the unknown CSI small signal-to-noise ratio of 3 db. When the signal-to-noise ratio increases to a certain degree, the power allocation algorithm for channel capacity will converge to the average power distribution channel capacity. )

arma模型的matlab实现，word格式(arma model matlab implementation)

本文对@:AB及其衍变模型进行了分析和总结，提出了直交门槛一般化自回归条件异方差#< 90 8 17C -D@:AB*模型。通过模型平稳性测试、@:效果检定、@:AB效果检定、模型阶数鉴定、模型参数估计与模型诊断对模型进行 评估，作者认为这种模型在估计投资组合资产收益的波动性上优越@:AB及其衍变模型。 (In this paper, @: AB model and its evolution are analyzed and summed up the proposed DC-AC threshold generalized autoregressive conditional heteroskedasticity# < 90 8 17C-D @: AB* model. Smooth adoption of the model testing, @: the effect of test, @: AB test the effect of model order identification, model parameter estimation and model diagnostics to assess the model, the authors suggest that this model portfolios in estimating the volatility of capital gains on the superior @ : AB and its evolution model.)