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k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

coil hz circuit with voice pc card

该程序是MATLAB环境下的小波消噪程序，自我感觉很有用，在此分享(The program is under the MATLAB environment, wavelet denoising process, feel useful, to share in this)

User guide for the eval kit for distance measurement.

说明：  反演自适应动态滑模控制，可以有效降低抖振(Inversion adaptive dynamic sliding mode control can effectively reduce the chattering)

matlab 编写的最炫民族风歌曲，希望有人喜欢(zuixuanminzufeng edited by matlab and hope somebody will like it)

particle filter example, images and code as well

face detection system

利用霍夫变换，处理图像，包括广义hough变换的应用，简单快捷，计算量小(Using Hough transform, image processing, including the application of the generalized hough transform, simple and quick computation)

OFDM papr reduction using matlab