source_matlab

非线性动力系统中分叉图用来定性的表示系统行为的演化，本代码中ode1.m定义了一个经典的Lorenz系统，sode3.m对该系统计算并画出了参数敏感区的分叉图。(Nonlinear dynamic system bifurcation diagram used to express qualitative evolution of system behavior, the code defines a ode1.m classical Lorenz system, sode3.m of the system to calculate and draw the sensitive areas of the bifurcation parameter Fig.)

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)

基于MATLAB环境下各种常用的插值算法的代码 简单明了 便于初学者学习(Based on MATLAB environment variety of commonly used simple interpolation algorithm code easy for beginners to learn)

比较NLMS、基于分块的LMS和基于符号的LMS三种算法，并且实现信道均衡(More NLMS, based on the LMS and block LMS three algorithms based on symbols, and to achieve channel equalization)

(7,3)线性分组码的译码过程和产生过程,此程序为信息课的作业((7,3) linear block code decoding process and the production process, this process work for the information class)

remote sensing 12123132

一个eemd的程序，对于初学者非常的适用，程序只需要输入实验数据就可以调试出来，可以下下来看看(A eemd program for beginners, very applicable, can debug program only need to input experimental data, can be down and have a look)

VC++调用matlab画图，效果很好！值得看(VC++ Call matlab drawing, the effect is very good!)

load flow methode newton-raphson for 5neouds

本代码采用python语言编写的的一个LSTM时间序列来预测销量(This code uses a LSTM time series written in Python language to predict sales)