numerctrap

人脸检测的程序，效果不错！内附用法说明，调用一张图片，将现实出人脸的边缘。(code for facedetection，the performance is nice！ usage: I=double(imread c:Datagirl1.jpg )) detect_face(I) The function will display the bounding box if a face is found. )

蒙特卡洛入门教程的实例！内附程序和课件！对于学习蒙特卡洛很有帮助！(Examples of Monte Carlo tutorial! Containing the procedures and courseware! Very helpful for learning the Monte carlo!)

manual segmention in matlab

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

粒子群优化算法（PSO），matlab代码，包含23个标准测试函数。(Particle swarm optimization （PSO）, matlab code, including 23 standard test functions.)

在MATLAB环境中搭建的电压电流双闭环buck电路，输出很稳定，对于其他双闭环控制有一定的借鉴作用。(In the MATLAB environment of voltage and current double closed-loop buck circuit, the output is stable, the double closed-loop control is of certain reference value to the other.)

dct与小波压缩，适用于毕业设计和论文呢(dct and wavelet compression)

说明：  实现单自由度受迫振动，图像绘制,我们可以绘制出单自由的图像出来，供我们参考(we can use this specification for program to draw the picture,this program is writed by matlab and it is easy to understand.)

同一张图片的各种不同的显示，以及对图片进行对比，能明显看出其中的不同(different to show the same picture)

基于BP神经网络对联合循环发电厂每小时满负荷电功率进行建模。(BP neural network based on a combined cycle power plant of electric power per hour at full load modeling.)