536339MATLAB

上传-混合高斯贝叶斯网络分类器，有数据可以直接运行，互相交流，互相学习。(Upload- Gaussian mixture Bayesian network classifier, the data can be directly run, exchange, learn from each other.)

Matlab工具箱 - 《复分析基础及工程应用 第3版》，这是书中所带工具箱，与Matlab本身的复分析工具箱相背相比，更适用于教学。(Matlab Toolbox- Fundamentals of Complex Analysis with Applications to Engineering and Science the 3rd version,compared with the similar toolbox of matlab,this toolbox is good at teaching.)

空间谱估计 经典music算法 2个例子(DOA MUSIC)

小波变换 采用mallat算法对信号进行四级分解、重构.matlab做的。(wavelet transform algorithm used Mallat four of the signal decomposition and reconstruction. Matlab done.)

WE NEED PART 2 CODE In MATLAB SOUND DECODEING

本程序是用matlable求任意一个二维矩阵的边界矩阵，与C和C++不同，这里不只用循环，比C和C++要方便快的多。(This procedure is arbitrary matlable seeking a two-dimensional matrix of the boundary matrix, with C and C is different here, not only by cyclic than C and C should be faster and more convenient.)

fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

多尺度第二代小波中的bandelet的变换。需要全部程序上网站。 http://lcd.siva.free.fr/where_is_the_starlet.html 里面有关于小波变换、Bandelet、Curvelet、等等，所有关于“let"的都有了。而且给出了所有有关信息的链接，可节省相当的检索资料的时间。 (Multiscale second generation wavelet transform of the bandelet. Need all the procedures on the web site. Http :// lcd.siva.free.fr/where_is_the_starlet. html inside on the wavelet transform, Bandelet, Curvelet, etc., all on the "let" can have everything. But given all relevant information links can save considerable time retrieval of information.)

基于能量检测的认知无线电感知频谱分析最优化设计(Based on energy detection sensing cognitive radio spectrum analysis to optimize the design)

椭圆拟合程序，最小二乘法拟合椭圆的算法，matlab实现。可直接运行。(ellipsedraw for ellipse fit which used in image)