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地图匹配最新算法，超过所以现知的方法，从国外专业网站购买的(The latest map matching algorithm, so now more than known methods, purchased foreign professional website)

自己用VC编写的GIS中voronoi图和凸壳自动生成源代码(Their use of VC in the preparation of GIS maps and Convex Hull voronoi automatically generated source code)

短时傅里叶变换源程序，matlab环境，可用于雷达，超声波信号分析以及DSP的学习(short time fft codes)

pmsm电机仿真。非常有参考价值 ，欢迎参老(pmsm motor simulation. Very valuable, and welcome to participate old)

垂直分层空时码的设计代码，适合初学者借鉴学习。(Vertical layered space-time code design code, suitable for beginners to learn from.)

说明：  火车的17自由度动力学程序，值得深入研究(The 17-degree-of-freedom dynamics program of the train is worthy of further study)

本文在传统分布式功率控制算法的基础上，考虑到代价函数的非负性，且存在一个正的最小值的特性，采用用户发射功率和信干比来定义用户的代价函数，引用了一种基于代价函数的功率控制算法。最后，本文利用MATLAB工具对该算法进行了仿真分析，验证了算法的有效性(Based on the traditional distributed power control algorithm based on, taking into account the non-negative Daijia function, and there is a positive minimum of features, with user transmit power and signal to interference ratio to define the user cost function, based on a reference cost function of the power control algorithm. Finally, the algorithm using MATLAB simulation tools for analysis and verification of the validity of the algorithm)

基于IEEE802.11a协议，OFDM加高斯白噪声的符号定时同步，Schmidl_Cox算法仿真代码(Based on IEEE802.11a protocol, the OFDM plus Gaussian white noise symbol timing synchronization, Schmidl_Cox algorithm simulation code)

TD-LTE下行传输采用了MIMO-OFDM的物理层构架，通过最多4个发射天线并行传输多个（最多4个）数据流，能够有效地提高峰值传输速率。LTE的物理层处理过程中，预编码是其核心功能模块，物理下行共享信道的几种主要传输模式都是通过预编码实现的。(The td-scdma LTE downlink transmission adopted MIMO - OFDM frame, the physical transmission antennas parallel transmission by up to four more (up to 4) data flow, can effectively improve the peak transmission rate.LTE) in the process of the physical layer of precoding is its core function module, several kinds of main physical downlink Shared channel transmission model is achieved by precoding.)

说明：  建模比赛中用到的GM(1,1)灰色预测模型，灰色关联度计算和多元线性回归模型，亲测可用，请放心使用。(This is grey prediction model and multiple linear regression model, Just change the input vector)