RAR

feature selection from iris data set it will use statistical methods and get the best set of features then use graphs to classify the data

matlab教程有点用看看哦 我感觉讲的还可以(good)

视觉图像处理研究者必看的有用代码。包括图像预处理，特征提取，算法实现，特征整合等等代码。(Visual image processing researchers must-see useful code. Including image preprocessing, feature extraction, algorithm, feature integration, etc. code.)

给出了FIR滤波器设计的MATLAB语言程序，可以根据设计要求，灵活地调整参数，得到需要的滤波器参数。 (given FIR filter design in MATLAB procedures, according to design requirements, flexibility to adjust parameters and the need to filter parameters.)

说明：  基于matlabRLS最小二乘递推算法辨识程序(RLS-based identification procedures matlabRLS)

噪声语音信号的处理。能够事项语音信号的自动去噪处理。效果良好。是M文件。语音信号要自己录制。( The noise speech signal processing. Automatic speech signal denoising. The effect is good. Is the M file. The speech signal to be recorded. The noise speech signal processing. Automatic speech signal denoising. The effect is good. Is the M file. The speech signal to be recorded. )

This interface specifies the methods for a visitor of Constant objects.

单级倒立摆控制的lqr仿真模型，可以达到很好的控制效果(single-stage inverted pendulum control lqr simulation model can achieve good control results)

在MATLAB中求图像纹理特征，主要是基于mtlab的程序，基于matlab GUI界面设计。( In the MATLAB image texture feature, Mainly based on the mtlab procedures, Based on matlab GUI interface design.)

A general technique for the recovery of signicant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signicant colors, a prepro- cessor for content-based query systems. A 512  512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate(A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c)