雷达噪声仿真

数字通信QAM调制的MATLAB仿真程序

中值滤波MATLAB算法，是一种很好的滤波器，实用‘方便(MATLAB median filtering algorithm is a good filter, practical ' convenience)

一个编译logmmse的Mfile，可以音频净化，噪音处理以及噪音识别，比通常的wiener filter效果要好，而且实现时间短(logmmse implementation)

本人做的GPS整个基带的捕获模型.用的是SIMULINK,捕获方式采用码并行捕获,其中信号源调整了P码(entire GPS base-band model of the capture. Simulation is used. Capture mode using parallel code capture, which adjusted the signal source code P)

该M文件的编写将方波响应转化为脉冲响应的程序和将脉冲响应转化为方波。(The preparation of the M file into the square wave response procedures and the impulse response into a square wave pulse response.)

this is saple program for file system implementtion in purebasic

偏微分方程数值解法的MATLAB源程序，非常全面。(Numerical solution of partial differential equations in MATLAB source, very comprehensive.)

Locally-Linear Embedding (LLE)[9] was presented at approximately the same time as Isomap. It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with many problems. LLE also begins by finding a set of the nearest neighbors of each point. It then computes a set of weights for each point that best describe the point as a linear combination of its neighbors. Finally, it uses an eigenvector-based optimization technique to find the low-dimensional embedding of points, such that each point is still described with the same linear combination of its neighbors. LLE tends to handle non-uniform sample densities poorly because there is no fixed unit to prevent the weights from drifting as various regions differ in sample densities. LLE has no internal model.

最小冗余最大相关性（MRMR）（MRMR.M） 需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱 偏最小二乘（PLS）回归系数（ReGCOEF.m） 使用MATLAB统计工具箱中的PLSReress ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.） 从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。 费雪评分（Fisher评分） 围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m) Needs external library. See mRMR.m for details. Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF (classification) and RReliefF (regression) (relieffWrapper.m) Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards. Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation. Fisher Score (fisherScore.m) Wraps around fsFisher.m from the ASU Feature Selection toolbox)

该代码实现了图像的滤波处理，这段代码给出了三种滤波矩阵，包括图像平滑(低通滤波器)、图像边缘提取(高通滤波器)等。用户下载后可以根据自己需要修改滤波矩阵和参数值，以便实现特殊的功能。为了形象的说明滤波效果，代码执行后可以看到滤波前后滤波后的对比图像。 (The code of the image filter processing, the code shows the three filter matrix, including the smoothing (low pass filter), image edge detection (high-pass filter) and so on. Users can download their own need to modify the filter matrix and the parameter values in order to achieve a specific function. Filtering effect to the image description, code execution before and after filtering can be seen after comparison of the filtered images.)