lms_perfect

leach protocol of wireless sensor network

This work introduces two variants of unsupervised color segmentation methods. The underlying idea is to segment the input image several times, each time focussing on a different salient part of the image and to subsequently merge all obtained results into one composite segmentation. As a first step salient parts have to be identified in the image, which is done by a simple local color clustering approach.

基于Matlab编写压缩感知重建算法集，包括OMP，CoSaMP，IHT，IRLS，GBP，SP和ROMP.(Matlab codes for CS recovery algorithms, including OMP, CoSaMP, IHT, IRLS, GBP, SP and ROMP.)

GMDH的MATLAB源代码，是主程序，也就是gmdhbuild.文件。与之配套的测试文件gmdhtest.m、输出误差gmdhpredice.m会接着发出。(GMDH The MATLAB source code, is the main program, which is gmdhbuild. File. Accompanying test file gmdhtest.m, output error will be followed by a gmdhpredice.m.)

本文利用MATLAB 提供的图形图像工具箱里的GU ID E工具,进行简单的心电信号界面的菜单和对话框的设计,使心电信号在记录、处理与诊断方面提供了可视化环境。(MATLAB graphics toolbox GU ID E tools the a simple ECG signal interface design of menus and dialog boxes, the ECG recording, processing and diagnosis provides a visual environment.)

说明：  Matlab下的遗传算法程序，还可以，比较详细。 大家自己(genetic algorithm, but also, more detailed. We all try)

说明：  基音检测,检测出语音的基音频率，采用了小波和经典方法(base tone)

说明：  并联机构 机器人 工作空间 刚度 轨迹贵乎啊 (work space)

基于粒子群算法的PID控制器优化设计matlab代码(PID TUNER using PSO matlab code)

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.)