wsn-ebook

to define color of the image

single tank level control using pid

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

EEG-Based Lapse Detection With High Temporal resolution

干涉图像光谱复原matlab仿真,主要通过设置虚拟光源光谱、对波真面分束空间干涉模型设定以及光谱复原等组成。(Resctruction the spectrum from the image of interference )

Recalculate the mask of events relevant to a given inode locked.

matlab详细的入门教程，很实用，对初学者有很大作用。(matlab detailed introductory tutorial, very useful for beginners.)

The attachment consists of a source code that performs malarial segmentation using k-means clustering.It also contains HUI conversion of an malarial image.Water shed algorithm applied on a cel image , and detection of water ridge lines for dental x ray image

这是一个关于数字信号处理的PPt基础课件。(it is a lession for dsp base)

说明：  MATHCENTRER下载的雷达杂波仿真系统，非常有参考意义(MATHCENTRER download of radar clutter simulation system, meaning a very good reference)