mdl_sourcenumber

matlab实现的基于HMM模型的语音识别系统，很实用！(Matlab achieve the HMM-based speech recognition systems, a very practical!)

Use Laplacian filter to enhance the picture.

频率解与动态区域解 频率普分析(Frequency spectrum analysis)

电扫阵列的Matlab建模与仿真，电扫阵列具有波束方向可控、扫描灵活、增益高的优势。(Electronically Scanned Arrays MATLAB Modeling and Simulation,Electronically scanned arrays (ESAs) provide the capability of commandable,agile,high-gain beams.)

用MATLAB实现 泊松分布随机数的产生和皮尔逊检验(Poisson distributed random number generation and Pearson test)

Fisherface方法的实现是在PCA数据重构的基础上完成的，首先利用PCA将高维数据投影到低维特征脸子空间，然后再在这个低维特征脸子空间上用LDA特征提取方法得到Fisherface。程序中使用参数寻优的方法来寻找最佳投影维数，以达到比较理想的识别效果。 (The Fisherface method implemented in the PCA data reconstruction based on the completion of the first use of PCA projection of high-dimensional data to a low dimensional feature subspace, and then on the characteristics of low-dimensional subspace LDA feature extraction methods to get the Fisherface. Program parameter optimization method is used to find the best projection dimension, in order to achieve the ideal identification.)

matlab匹配的匹配算法，可以调节参数(matching matching matlab)

本演示实现了主动轮廓模型由Kass等人提出。 要运行它的图形用户界面 1。基于MATLAB型引导提示。 2。关于“到现有的图形用户界面，点击” 3。选择在与本文件相同的目录snk.fig文件 4。按一下上方的绿色箭头启动图形界面 一旦GUI已经启动，您可以通过使用蛇 1。点击“新形象”，并加载输入图像。提供的样品图像。 2。平滑参数设置“西格玛”或保留其默认值并点击“过滤器”。这将平滑图像。 3。只要你点击“过滤器”，头发会出现交叉，用他们和你左击鼠标，您可以选择在图像上的初始轮廓的位置。会出现一个红色圆圈到处您单击并在多数情况下，你应该单击对象周围的一切你想要的部分。最后一点，必须挑选使用右键单击，以阻止更多的积分为MATLAB的要求。 4。设置各种蛇参数（在能源方面的相对权重的蛇目标函数）或离开它们的默认值，然后按一下他们“迭代”按钮。蛇会出现和移动，因为它收敛到它的低能量状态。(This demo implements the Active Contour Models as proposed by Kass et al. To run it with GUI 1. Type guide on the matlab prompt. 2. Click on "Go to Existing GUI" 3. Select the snk.fig file in the same directory as this file 4. Click the green arrow at the top to launch the GUI Once the GUI has been launched, you can use snakes by 1. Click on "New Image" and load an input image. Samples image are provided. 2. Set the smoothing parameter "sigma" or leave it at its default value and click "Filter". This will smooth the image. 3. As soon as you click "Filter", cross hairs would appear and using them and left click of you mouse you can pick initial contour location on the image. A red circle would appear everywhere you click and in most cases you should click all the way around the object you want to segment. The last point must be picked using a right-click in order to stop matlab for asking for more points. 4. Set the various snake paramete)

瑞利信道下，OFDM系统中使用BPSK调制的误码率（验证可用，与理论值比较）(BER for BPSK in OFDM with Rayleigh multipath channel)

在matlab中利用Volterra非线形滤波器进行系统辨识，并带有一个应用示例。代码带有详细注释。(In the matlab filter using Volterra non-linear system identification, and with an application example. Code with detailed comments.)