Main_Cor_Analysis

循环平稳工具箱，其中包括谱相关函数，循环谱等多个非常有用的matlab程序(cyclostationary_toolbox)

说明：  A matlab code for computer generated hologram.

This is a matlab code for OSTBC transmitter and receiver

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

实现了Intelligent Reflecting Surface Enhanced Wireless Network_Joint Active and Passive Beamforming Design文章里的分布式算法。(The distributed algorithm in Intelligent Reflecting Surface Enhanced Wireless Network_Joint Active and Passive Beamforming Design is implemented.)

convolution encoder.....................................

将有的数据间隔大于10s的PKI数据与均匀10s的PRD数据整合成一个间隔<=10s的数据文件(Some data interval greater than 10s of the the PKI data with uniform 10s of the PRD data integration into an interval < = 10s data file)

matlab code improve signal GPS

multilayer perceptron sample

说明：  测试网络的容错性,并且对实际含噪声的字母进行识别，以实现BP网络的识别功能。(Test network fault tolerance, and the actual identification of letters with noise, to achieve the BP network, recognition.)