CBEA_B1

说明：  svm工具箱，应用于matlab平台，给出了C_SVC二类分类算法的历程(svm toolbox, used matlab platform, given C_SVC the course of second-class Classification Algorithm)

功能列表= mmwrite（文件名，选择... ...） mmwrite是能写的AVI，WMV，的WMA，ASF文件。对于AVI文件，您可以选择从现有的编解码器压缩的音频和视频流。 对于WMV，WMA和ASF的编码默认为16位的Windows Media 9率为44100Hz立体声为98％质量的音频和Windows媒体视频9 98 质量。质量可以指定音频和视频。 环绕声，似乎只与AVI和多通道编码不支持。编写任何其他文件类型不支持。本使用Windows的DirectX基础设施，以便其他操作系统是出于运气。 输入：     文件名：这一定是第一个参数，并指定文件名写。     影片结构：视频结构相匹配的mmread输出。在最低限度，必须有4个领域的“框架”，“时代”，“高度”和“宽度”。该“框架”字段必须是一个结构与一个字段数组“的CDATA”的原始框架，它包含由彩色编码的数据宽度高度（3）UINT8s。钍(function list = mmwrite(filename,...options...) mmwrite is able to write AVI,WMV,WMA,ASF files. For AVI files you can choose from the available codecs to compress the audio and video streams. For WMV,WMA and ASF the encoding defaults to Windows Media 9 44100Hz 16bit stereo 98 quality for the audio and Windows Media 9 Video with 98 quality. The quality can be specified for both audio and video. Surround sound only seems to work with AVI and multi-pass encoding is not supported. Writing any other file type is not supported. This uses Windows DirectX infrastructure, so other OSs are out of luck. INPUT: filename: This must be the first parameter and specifies the filename to write. video structure: The video structure matches the output of mmread. At a minimum it must have 4 fields "frames", "times", "height" and "width". The "frames" field must be a struct array with a field "cdata" that contains the raw frame data encoded as height by width by color(3) as UINT8s. Th)

理发店的服务过程仿真 一个理发店有两位服务员A和B顾客随机地到达该理发店,每分钟有一个顾客到达和没有顾客到达的概率均是1/2 , 其中60 的顾客理发仅用5分钟,另外40 的顾客用8分钟 . 试对前10分钟的情况进行仿真。(Service process simulation of a barber shop barber shop attendant A and B, there are two customers arrive at the barber shop randomly, every minute a customer arrives and there is no probability that the customer arrives are 1/2, where only 60 of the customers Barber five minutes, another 40 of customers with 8 minutes. trial for the first 10 minutes of the simulation.)

声纹识别，MFCC特征参数提取，Matlab代码(MFCC )

CodeProject网站上下载的关于matlab与C#,MATLAB与VC混合编程的资料，很全(CodeProject web site to download on matlab and C#, MATLAB and VC mixed programming information, it is all)

Principal component analysis,for study about classification data,develop for svm , lvq etc

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

希尔伯特变换理论及matlab程序( Hibert for matlab )

批处理for语句从入门到精通，讲述批处理的for语句的机制，目录如下： 一 前言 二 for语句的基本用法 三 for /f 含变量延迟 四 for /r 五 for /d 六 for /l(Batch for statements entry to the master, tells the story of a batch of for statements mechanism, directories are as follows: one preface Two basic uses of the for statement Three for /f with variable delay Four for /r Five for /d Six for /l)

this is program about satelit constalation