Fibanacci

and this for chapter 4, chapter 3 just describe some theories.

code of Peak Signal-to-Noise Ratio

自抗扰控制的simulink仿真模型，其中TD、ESO和NLSEF均是采用m函数编写的，效果不错，可以试一下(Simlink simulation model of ADRC, in which TD, ESO and NLSEF are all written by M function, the effect is good, you can try it.)

机器学习算法adaboost的一个新版本，相比以前的0.3版，修正了几个BUG。(A new version of adaboost in machine learning algorithms.Compared of the previous version, some bugs are modified.)

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.

主要对matlab在编程方面的应用作一个较详细的介绍，其中涉及了编程必然须注意的变量类型、数据类型、程序控制语句及matlab函数等相关内容(matlab for programming)

地震波格式转换 地震波格式转换 地震波格式转换(Earthquake Earthquake Pogue Pogue conversion conversion)

用MATLAB解决真实世界的问题，再此介绍一个MATLAB查找地震中心的例子(Using MATLAB to solve real world problems。Here,we introduce an example which is to find earthquake center using MATLAB)

改进单纯形法在matlab中的实现。通过该程序可以实现优化目标。(Improved simplex method is implemented in matlab.Through the program can realize the optimization goal. )

文利用带噪语音经特征基函数矩阵转换后所具有的稀疏特性，用最大似然估计方法对转换后得到的稀疏 分量进行非线性压缩去噪，然后再经过反变换和重构恢复出原始语音信号的估计。特征基函数矩阵反映了语音数据本 身的统计特性，因此具有很好的合理性和可取性。仿真结果表明利用稀疏编码方法能极大程度地抑制背景噪卢，与小波消噪法相比优势明显。(a speech enhancement algorithm based Compressed Sensing.)