ma=1.1

说明：  差分编码子程序,在调治之前对信号进行差分编码(differential coding subroutine, prior to the modulating signal differential coding)

详细功能中值滤波、包含内容说明中值滤波的介绍 例子和图像(Detailed functional median filtering, median filtering introduction of examples and images including the content description)

用于解反问题的代数重建法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x(Algebraic solution of the inverse problem for the reconstruction of France, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x)

蒙特卡洛法对2psk,2fsk通信系统进行仿真，计算不同信噪比(SNR)条件下的误码率（BER）并画图(2PSK,2FSK communication system simulation using Monte Carlo method in MATLAB, calculating the different BERs for different SNRs and plot figures.)

breast cancer test , simple input image and target images to highlight the cancer

Implementation of basic insertion, deletion and search algorithms in a red-black tree in C++.

MATLAB下使用viterbi算法进行卷积码的仿真范例。可以用任意配置的卷积码。testConv.m启动仿真，其中用了两种卷积码(一个1/2和一个2/3卷积码）。若要使用硬判决，需修改metric.m文件。其他就没有什么要改的了。解压即可使用。(Under viterbi algorithm using MATLAB simulation examples of convolution codes. Can be used in any configuration of the convolutional code. testConv.m start the simulation, which used two convolution code (a 1/2 and a 2/3 convolutional code). To use a hard decision, modify metric.m file. Nothing else would want to change it. Extract can be used.)

matlab信号处理详解，matlab信号处理不错的参考资料(Detailed matlab signal processing, matlab signal processing is a good reference)

提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图 像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别 程度。(A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognition. This method between the two images by calculating the reconstructed image block average error, calculated using the linear discriminant analysis after dimension reduction of two images Euclidean distance, the integration calculation of reconstruction error and the Euclidean distance difference between these two images level.)

用Matlab实现图像中的形状如矩形、圆形和正方形的检测(Matlab implementation by the shape of the image, such as rectangular, circular and square test)