MatlabFiles

利用MATLABWebServer实现在线作图，这个资料很有用(To use MATLABWebServer online mapping, this information is useful)

wave simlation matlb example

利用混合巡游方法控制时空混沌1000-2618(2013)05-0475-05(Control of spatiotemporal chaos by a hybrid itinerant feedback method)

对未来的人口数量进行一定的预测，采用的是阻滞增长模型(Predict the future population)

这部分包括KL变换、沃尔什-哈达玛变换、Hough变换等(This section includes the KL transform, Walsh- Hadamard transform, Hough transform, etc.)

This m-file implements a simple data acquisition gui with multiple channels and custom triggering It demonstrates how to: 1) Use nested functions to simplify data acquisition programs 2) Use a simple GUI (a couple of pushbuttons) to start and stop data acquisition. 3) Wait for an event/trigger (like a button press) and log pre-event or pre-trigger data from multiple synchronized channels. 4) Record pretrigger data based on custom criteria. In this m-file the triggering event is a button click. However, the event could be any custom criterion (e.g., the data amplitude is greater than a threshold *and* a toggle button is enabled). Requires: the Data Acquisition Toolbox (TM) and the Winsound adapter. It does not depend on any hardware-specific capabilities. (This m-file implements a simple data acquisition gui with multiple channels and custom triggering It demonstrates how to: 1) Use nested functions to simplify data acquisition programs 2) Use a simple GUI (a couple of pushbuttons) to start and stop data acquisition. 3) Wait for an event/trigger (like a button press) and log pre-event or pre-trigger data from multiple synchronized channels. 4) Record pretrigger data based on custom criteria. In this m-file the triggering event is a button click. However, the event could be any custom criterion (e.g., the data amplitude is greater than a threshold*and* a toggle button is enabled). Requires: the Data Acquisition Toolbox (TM) and the Winsound adapter. It does not depend on any hardware-specific capabilities. )

本文主要针对图像分割方法进行了研究综述说明。(In this paper, image segmentation methods for research synthesis note.)

基于matlab的最优化方法设计FIR低通滤波器(Based the matlab optimization method design FIR low-pass filter)

基于svm的数据分类预测，数据集是意大利葡萄酒种类的数据集，对葡萄酒进行种类识别以及分类。(Based on the svm data classification prediction, the data set is the Italian wine category data set, the wine species identification and classification.)

LSB方法隐写图像,空域处理，基于修改图像LSB层的数据，达到隐藏秘密信息的目的(steganografic by LSB)