maxentropie

结合matlab强大的数据处理能力和蒙特卡洛方法的强大随机模拟功能，编写了一个小算例(Matlab combination of powerful data-processing capabilities and a powerful Monte Carlo method of random simulation capabilities, to prepare a small example)

说明：  针对多边形，求其面积，长宽比，并标记重心(For the polygon, find its area, aspect ratio, and mark the center of gravity)

cascaded multilevel inverter

结合状态空间和最小二乘估计算法对动态系统未知参数的辨识。(Combined state and least squares parameter estimation algorithms for dynamic systems)

基于matlab的OFDM仿真程序； 我再论坛找了很多OFDM的代码和文章,但总有遗患,为什么呢原因是大部分只有简单的映射,IDFTDFT变换等等,但主要的同步和信道估计去没有人提出来,甚至做出来.. 现在我终于找到了一份,它以FUNCTION的形式,再现了OFDM映射,IDFTDFT,同步(时间频率同步)和信道估计,以及频率偏移的估计等一系列代码.(Based on the OFDM matlab simulation program I' ll find a lot of forums and articles OFDM code, but there are left suffering, why because most only simple mapping, IDFTDFT transformation, etc., but the main synchronization and channel estimation to no one proposed, and even do it .. and now I finally found a copy of it in the form FUNCTION, Reproduction of OFDM mapping, IDFTDFT, synchronous (time and frequency synchronization) and channel estimation, and the estimated frequency offset a series of code.)

回波抵消器中常用的几种自适应滤波算法有LMS, NLMS, RLS等算法。对现有主要算法的性能进行了分析，并对优缺点进行评价和比较。为了在收敛速度和运算量之间得到很好的折衷，对NLMS算法改进，得到了 PNLMS(Echo cancellation devices commonly used in adaptive filtering algorithm has several LMS, NLMS, RLS, such as algorithms. The main algorithm of the existing performance analysis, and evaluation and comparison of the advantages and disadvantages. For the convergence between computing speed and a good compromise on the NLMS algorithm improvements have been PNLMS)

说明：  我做的关于爱人的仿真程序， 关于爱人的仿真程序。(I love to do on the simulation program, the wife of the simulation program.)

包括三维的基本操作命令，比较全面，值得一看。(Including three-dimensional basic operation command, a more comprehensive, worth a look.)

MATLAB7.0基础教程，其中包括很多实例，对学习此软件很有帮助(MATLAB7.0 based tutorial, including many instances, this software is very helpful to the study)

GRNN的数据预测-基于广义回归神经网络货运量预测(GRNN data to predict- based on generalized regression neural network volume forecast)