yundongjiance

聚类集成的matlab程序,将集成学习算法引入聚类算法中，提高聚类算法的性能(cluster ensemble learning algorithom ,this algorithom put ensemble learning algorithom into the cluster algorithom to improve the capability .)

用matlab语言来实现一幅图像中对人脸中左右眼睛的定位。(detect eye in a image which include a face)

K means clustering algorithm implementaion, machine learning

为变压器油纸绝缘支路辨识提供判断，为变压器油纸绝缘老化判断提供依据(To provide for the judgment of transformer insulation branch for transformer insulation aging identification, provide the basis for judgment)

说明：  半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)

maximum likelihood estimation

Statistical Methods and Applications (SMA) is the official Journal of the Italian Statistical Society. This international journal fosters the development of statistical methodology and its applications in biological, demographic, economic, health, physical, social, and other scientific domains. In particular, the journal emphasizes investigations of methodological foundations and methods that have broad applications.

chirp信号生成，以及匹配滤波实现，卷积实现(chirp signal generation and matched filtering to achieve)

说明：   <小波分析理论与MATLAB 7实现>是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。 本书可作为理工科各专业的高年级本科生、研究生学习小波分析的辅助教材，也可作为研究和应用这一领域的科技工作者的参考书。 (err)

Linear receiver interfaces for multiuser MIMO communications