program3

特征矩阵的联合对角化法（JADE），独立分量分析（ICA）的一种方法，用matlab编写(Characteristic matrix of the joint diagonalization method (JADE), independent component analysis (ICA) is a means to prepare with matlab)

自己编写的脑电滤波程序，实现0.3到120HZ范围的滤波(I have written EEG filtering process, to achieve the filtering range of 0.3 to 120HZ)

说明：  基于MATLAB/SIMULINK的光伏电池模型，可调整电压电流光照温度(Photovoltaic cell model )

sift代码，matlab版的，对初学者有用哦， 需要得下吧(sift code, matlab version, useful for beginners Oh, you need to get under the bar)

说明：  MATLAB 干系结构计算程序时候matlab有限元计算新手学习(MATLAB computation program stakeholders when novice learning finite element matlab)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

Deblurring Images Using a Regularized Filter This example shows how to use regularized deconvolution to deblur images. Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter.

image processing prograsms

蒙特卡罗方法（Monte Carlo method）在积分计算中的应用以及讨论(Integral Monte Carlo method in the application of the calculation and discussion)

2012b破解Crack，很好的东西，安装方法网上有(2012b crack Crack, very good things, the installation method online)