GIF

自己编的，基于自适应噪声对消的语音增强新算法(Own, based on adaptive noise cancellation of the new algorithm for speech enhancement)

Converts a monochrome mosaiced TIFF file to simulator format. 在matlab上运行，去除模糊图像，重影。(Converts a monochrome TIFF file mosaiced t o simulator format. In Matlab run, remove fuzzy images ghost.)

基于小波的纹理特征，小波四层分解，特征向量含有均值、标准差、空间频率等，共13*4个特征。(Based on texture feature of wavelet, wavelet decomposition, four layers of characteristic vector containing the mean, standard deviation, such as spatial frequency, a total of 13* 4 characteristics.)

产生一个长为1000的二进制随机序列，“0”的概率为0.8，”1”的概率为0.2； 对上述数据进行归零AMI编码，脉冲宽度为符号宽度的50 ，波形采样率为符号率的8倍，画出前20个符号对应的波形（同时给出前20位信源序列） 改用HDB3码，画出前20个符号对应的波形 改用密勒码，画出前20个符号对应的波形 分别对上述1000个符号的波形进行功率谱估计，画出功率谱 改变信源“0”的概率，观察AMI码的功率谱变化情况(A length of 1000 random binary sequence, and " 0" with a probability of 0.8, " 1" with a probability of 0.2 the AMI code above zero, the pulse width of the symbol width of 50 , the waveform sampling rate Symbol rate 8 times, draw the top 20 of the waveform corresponding to the symbol (the first 20 and gives the source sequence) switch HDB3 code, the first 20 to draw a waveform corresponding to the symbol to switch Miller code, the first 20 symbols correspond to draw The waveforms of the symbol of the waveform 1000 power spectrum estimation, shown to change the source power spectrum " 0" , the probability of observation of the power spectrum of AMI code changes)

压缩感知的获取与重建，信号的稀疏表示，测量矩阵，重建算法(Compressed sensing acquisition and reconstruction)

用于激光谐振腔的计算，采用早期的foxli算法。

上传几个关于线阵RLS算法、圆阵LMS算法、矩形波以及SNR的matlab源代码，都可以出图，希望对大家有用！(From a few RLS algorithm on the linear array, circular array LMS algorithm, as well as the SNR of the rectangular wave matlab source code, can be a diagram, useful for all of us hope!)

说明：  图像双边去噪的matlab代码，是当今主流的效果好而且速度快的去噪方法(Image bilateral denoising matlab code, is the mainstream of today s effective and fast de-noising method)

good matlab files for rolling mill type models.............

水果图像识别，利用MATLAB进行图形的特征提取，边缘检测，阈值分割等(Fruit and image recognition, the use of MATLAB for graphics feature extraction, edge detection, thresholding, etc.)