speedreducer

可转债论文，研究定价，模型，方法，赎回，回售等(This thesis is devoted to evaluating two-factor convertible bonds. Di® erent zero- coupon bond curves are inputted when evaluating convertible bonds issued by com- panies with di® erent credit ratings. Thus the e® ect of the company s credit on the price of the convertible bond is easily and accurately included during the computa- tion. In the model for the interest rate, the parameters in the variance are determined from the market data by statistics and the market price of risk is determined by a zero-coupon bond curve through solving an inverse problem. When we price the con- vertible bond, a free-boundary problem is solved. A Singularity-Separating Method (SSM) is proposed in order to solve this problem e±ciently. Taking the market data)

一个老外写的802.11n无线局域网物理层（基带）simulink仿真模型，支持多种不同的速率。 关于模型的描述可以参见包内说明以及参考文献(Simulink model of 802.11n wireless LAN physical layer (baseband), supporting many diff rates. See the paper describing the model at: Wireless LAN Comes of Age: Undersanding the IEEE 802.11n Amendment by Thomas Paul and Tokunbo Ogunfunmi, IEEE Circuits and Systems Magazine, First quarter 2008, pp. 28-54. 2008. )

潮流算法潮流算法潮流算法潮流算法潮流算法潮流算法潮流算法潮流算法潮流算法潮流算法潮流算法潮流算法潮流算法潮流算法(chaoliuchaoliuchaoliuchaoliuchaoliuchaoliuchaoliuchaoliuchaoliuchaoliuchaoliuchaoliuchaoliuchaoliuchaoliu)

qpsk源程序，有gui界面，很不错，包含误码率分析，频谱、功率谱分析，还有星座图(qpsk source, a gui interface, very good, including bit error rate analysis, spectrum, power spectrum analysis, as well as constellation)

In this i attached matlab code for indoor localization using WIFI and FM signal features classified by KNN classifier to predict the fingure print of the building structure.

non-parametric identification

主要是用来实现车牌提取功能，车牌显示，灰度变换等的功能(License plate extraction is mainly used to implement functions, license plate revealed that the functions of gray transform)

this code simulate channel model

地震勘探数据处理的matlab工具包，包括常用的反褶积，拉登变换，地震绘图等多种功能，比较好用的小东西(Seismic data processing matlab toolkit, including the commonly used deconvolution, transform Laden, seismic mapping and other features, compared to-use small things)

说明：  主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 (Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process variables and establish the normal condition of the main element model, by testing samples of the new data relative to the principal component model departure from, and thus abnormal and failure.)