IMM

这是urban_macro信道加卷积编码的ofdm程序。 包含文件有：qpsk.m qpsk调制程序 deqpsk.m qpsk解调 ofdm_siglepath.m 单径瑞利衰落程序 sigle_path_conv.m 单径瑞利衰落信道加卷积编码程序 ofdm_urban_macro.m urban_macro信道的ofdm程序 ofdm_my.m urban_macro信道加卷积编码的ofdm程序 viterbi.m viterbi译码程序 cnv_encd.m 卷积编码程序 sigle_path_conv.fig 为单径瑞利衰落信道加卷积编码结果 ofdm_conv.doc 仿真报告(This is urban_macro channel plus ofdm convolutional coding procedures. Include files are: qpsk.m qpsk modulation demodulation process deqpsk.m qpsk ofdm_siglepath.m single Rayleigh fading process sigle_path_conv.m single Rayleigh fading channel plus convolution coding process ofdm_urban_macro.m urban_macro ofdm channel program ofdm_my.m urban_macro channel plus ofdm convolutional coding process viterbi.m viterbi decoding process cnv_encd.m convolutional coding process sigle_path_conv.fig single path Rayleigh fading channel plus convolution coding results ofdm_conv.doc Simulation Report)

介绍simulink的详细使用方法，方便初学者使用(Simulink detailed introduction to use, convenient to use for beginners)

基于神经网络的用电量预测，采用Matlab实现(Power consumption based on neural network prediction, the use of Matlab to achieve)

田纳西-伊斯曼过程的数据，分训练集和测试集，共44组数据。(Tennessee- Eastman process the data, sub-training set and test set, a total of 44 sets of data.)

该算法可以计算含DG的配电网优化计算，算例采用IEEE 33 bus test system。(Our algorithm package can solve the distribution active power optimization with the consideration of distributed generation (DG). The test case is based on IEEE 33 bus test base. Enjoy it. )

欧拉法和龙格库塔算法解一阶常微分方程源代码(Euler method and Runge-Kutta algorithm for solving differential equation source code)

说明：  电力系统潮流上机程序，已知线路结构，pq节点，pv节点和平衡节点，求各点的未知量。(Power System Power program, known line structure, pq node, pv nodes and balancing node, find the unknown amount of points.)

给出一个两个参数的matlab遗传算法的仿真程序,有一定的科研参考价值.值得一看.(wo have given a two algorithm matlab genetic algorithm,it can be useted by researchers.)

统计信号处理工程中广义最大似然比检验的MATLAB仿真(Statistical signal processing engineering generalized likelihood ratio test MATLAB simulation)

计算基本全局阈值算法,代码简单，适合初学者，本人亲自试验过，方法可行(Calculation of basic global threshold algorithm, the code is simple, suitable for beginners, I personally tested the method is feasible)