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此源码包含了QPSK调制所需的一系列子程序，方便大家学习参考(This source contains a series of subroutines required for QPSK modulation to facilitate them to learn from reference)

BP神经网络进行数据分类，是一种多层前馈神经网络，该网络的主要特点是信号前向传递，误差反向传播。运用梯度下降法，(BP neural network is a multi-layer feedforward neural network for data classification. Its main characteristics are forward signal transmission and back error propagation. Using gradient descent method and BP neural network to classify data is a multi-layer feedforward neural network. The main characteristics of this network are forward signal transmission and back error propagation. Using gradient descent method,)

COFDM系统在不同调制方式（BPSK/QPSK/16PSK）下的PPCR和BER的比较。不含噪声和多径(COFDM modulation system in different ways (BPSK/QPSK/16PSK) under the PPC R and BER comparison. Without noise and multipath)

一般统计数据中有很多变量，采用组成分分析法，可以既有效抓住有效信息，又实现降维。本程序采用实例，来说明此方法。(General statistics, there are many variables, sub-components analysis, can only effectively capture useful information, but also to achieve dimensionality reduction. The program uses examples to illustrate this method. )

说明：  改进的AR时间序列分析模型，加入了窗口的概念，源码里有实例(Improved AR time series analysis model, adding the concept of the window, there are instances where the source)

在BSC信道下，信道编码的设计，包括了Hamming Code Golay Code Circle Code and Converlute Code，对各种信道编码的误码率（BER）和程序开销（运行时间）性能进行了仿真分析 (channel encode including Hamming Code Golay Code Circle Code and Converlute Code in BSC channel. )

本程序可以实现具有较好相关性的ZC序列，其时频两域相关性很强(The program can achieve better correlation with the ZC sequence, time and frequency domain strong correlation)

SANKHYA is an any base to any base convertor .

TIME REVERSAL TECHNIQUE COMBINED WITH OFDM/OQAM IN MISO SYSTEM

这是跳频程序通过MATLAB的仿真分析，是很好的学习帮助程序(This is frequency-hopping process through MATLAB simulation analysis, are very good procedures to help study)