2.4kpbps MELPe解码和固定码编码

经典最大二维熵分割法，已经通过验证 运行效率极高(Classic maximum entropy partition method has been validated high efficiency)

说明：  cs点目标成像算法，用matlab实现的点目标仿真。(cs-point target imaging algorithm using matlab to achieve point target simulation.)

BP神经网络进行非线性拟合，进行系统建模。 BP神经网络是一个黑箱子，通过数据建立一个空间映射关系。可以作为神经网络预测(The BP neural network for nonlinear fitting, system modeling. The BP neural network is a black box, through the data to build a space mapping relationship. Can be used as a neural network prediction )

首先生成高斯脉冲，然后经过傅里叶变换进行处理，设置好谐振腔长等各参量，采用梳妆函数的原理，对高斯脉冲进行变换后，再进行锁模处理，锁模处理的过程进行了输出，另外未锁模的情况也进行了输出，

一个matlab编写的图片放大程序 可供初学者快速了解学习 掌握基本函数(Write a matlab program to enlarge the picture to learn to master for beginners to quickly understand the basic function)

LSB匹配算法的实现。目前大部分都是LSB替换算法，较新的图像LSB匹配算法的嵌入和恢复我没有在其它地方找到。因此，自己写了一个，可以作为毕业设计的内容。matlab编写，经过充分测试，可用。(Image LSB Matching Algorithm,implementated using matlab )

基于adaboost的人脸检测算法,包括训练，修改了数据读取结构，降低了内存需求(Based on adaboost face detection algorithms, including training, to modify the data read structure, reducing the memory requirements)

file includes least square and least mean in matlab

说明：  灰色系统理论是研究解决灰色系统分析、建模、 预测、决策和控制的理论.灰色预测是对灰色系统 所做的预测.目前常用的一些预测方法（如回归分 析等），需要较大的样本.若样本较小，常造成较 大误差，使预测目标失效.灰色预测模型所需建模 信息少，运算方便，建模精度高，在各种预测领 域都有着广泛的应用，是处理小样本预测问题的 有效工具(Grey system theory is the research and solution of grey system analysis, modeling, The theory of prediction, decision - making and control At present, some commonly used prediction methods (such as regression score) If the sample size is small, it often results in a comparison Large error, so that the prediction of the target failure Less information, convenient operation, high modeling accuracy, in a variety of prediction collar Fields are widely used to deal with small sample prediction problems Effective tool)

本文为Stephen J.Chapman《MATLAB 编程（第二版）》英文影印版的中文译本，这本 书对初学者很好的入门教材。(This article Stephen J.Chapman " MATLAB Programming (second edition)," The Chinese translation of the English version of a photocopy, this book is a good primer for beginners.)