MATLAB

it use to extract thre feature of ecg signal using pca

costas锁相环，matlab程序，仿真(costas for psk)

说明：  MATLAB课堂考勤（GUI） 该课题为基于MATLAB pca的人脸考勤系统。可以从一副图像中找出多人人脸，分割，计算人数，然后提前制作好这些人的人脸库，进行逐一识别是谁，是不是库内人脸，如是，具体是谁，如果不是，那提示库外人脸。具有友好的人机交互界面，还可以二次开发成摄像的，但是摄像头误差可能会有点。识别流程为：读取图像，人脸定位，人数统计，人脸分割，人脸识别，库内外判别。(The subject is face attendance system based on MATLAB PCA. We can find multiple faces from an image, segment and calculate the number of people, and then make a face database of these people in advance to identify who they are one by one, whether they are the faces in the database, if so, who they are, and if not, prompt the faces outside the database. It has a friendly human-computer interface and can be developed into a camera again, but the camera error may be a little bit. The recognition process includes: image reading, face location, number of people statistics, face segmentation, face recognition, identification inside and outside the database.)

facts device simulation with simulink matlab file with five level inverter application

用粒子群算法对目标函数进行优化的matlab程序。(Using particle swarm algorithm optimize the objective function of the matlab program. )

parzen窗对概率密度函数的估计matlab程序(parzen window )

matlab MPPT仿真,定步长电导增量法，在matlab2011上验证可以使用(matlab mppt)

simplst kalman filter estimation results kalman filter

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

从初值出发，先计算y对时间t的导数，得到y的变化速度；求出x对t的导数，得到x随时间的变化速度。然后时间前进一小步h=0.002，同时x和y也都发生一个小的变化，即在原来数值基础上加上时间步长h和变化速度的乘积。如果x到达1或者-1，强制让y发生变化。这个过程不断迭代，得到结果。 (completed chart)