homework1_MLPNN

matlab神经网络工具箱的实用指南，第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。(matlab neural network toolbox of the Practical Guide, chap neural network are the basic introduction, chapter II, including designated by the toolbox on the network structure and symbols of the basic materials, as well as neural network set up some basic functions, such as new, init, adapt and train. Chapter III in order to reverse the spread of the network as an example to explain the back-propagation networks, the basic principle and application process.)

Matleb的学习课件，适合初学者学习使用。(Matleb learning courseware, suitable for beginners learning to use.)

用于求解多个相干信号源的波达方向的子空间平滑算法(Subspace smoothing algorithm for solving the direction of arrival of multiple coherent sources )

说明：  mcm-美国2007年数学建模大赛的题目，我们的想法非常独到新颖，已经有论文发表(mcm-American in 2007 the subject of mathematical modeling contest, and our thoughts are very unique new papers have been published)

实现差分进化算法，并通过了rastrigr函数的测试，在全局上搜索得到了正确的结果。(Achieve differential evolution algorithm, and passed the test rastrigr function in the global search to get the correct results.)

create new based on mean and variance of the each cluster

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-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 m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

说明：  contour函数的使用 matlab小波降噪 全局软阈值消噪图像 无偏估计软阈值消噪图像 同态滤波 启发式软阈值消噪图像 (contour matlab wavelet noise reduction function uses the global soft-threshold denoising images unbiased soft threshold denoising images with state of the heuristic filtering images of soft threshold denoising)

最小生成树 用于计算旅行商问题 (Minimum spanning tree used to calculate the traveling salesman problem)

在Matlab中，选择本地歌曲所在文件夹，然后播放(In Matlab, the choice of local songs in the folder, and then play )