center_weighted_median_filter

图像加密，使用量logistic混沌映射对图像进行了加密和解密，可以直接运行(Image encryption, usage logistic chaotic map for image encryption and decryption, you can directly run)

首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。(First, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives. And then the characteristics of long training word, the correlation operation for the FFT window starting position of an OFDM symbol estimate. The estimated position of the FFT window, the first small frequency offset in the time domain estimation, the two long training word small frequency offset compensation, the FFT operation, the FFT result of the operation for integer frequency offset estimate. These parameter estimation is completed, the data can be demodulated on. The first portion of the data for a complete frequency offset compensation, and based on the estimated FFT window position of the FFT operation to obtain frequency domain data, demodulated. Then corresponding to the position of the pilot subcarriers are extracted on pilot inform)

SART algorithm for image reconstruction

genera una botella por curvas de bezier

generate music signal

MATLAB数值积分与应用的一个简短介绍，主要对于初学者应用。(MATLAB numerical integration and application of a brief introduction, the main application for beginners.)

Mat Lab sample file for simulation

book on Basics of Matlab

小波图像去噪的matlab程序，实现多种阀值之间的比较(Wavelet image denoising Matlab program, a variety of threshold comparison between)

SVD奇异值分解做降维处理，主要用于降维处理，可用于图像压缩，数据融合等领域(SVD singular value decomposition (SVD) is used for dimensionality reduction, which is mainly used for dimensionality reduction, and can be applied to image compression, data fusion and other fields.)