nonnegativeICAexample

包含两个程序，一个是将视频转换成一组图像，一种是用一组图像生成一个视频。在视频处理中非常有用。(Includes two programs, a video is converted into a group of pictures, one is used to generate a set of images of a video. It is useful in video processing.)

说明：  Chained Beam-Constraint-Model (CBCM)：a powerful tool for modeling large and complicated deflections of flexible beams in compliant mechanisms(Chained Beam-Constraint-Model (CBCM)-a powerful tool for modeling large and complicated deflections of flexible beams in compliant mechanisms)

本程序利用matlab来实现基于小波变换的多尺度图像边缘检测。(This word use matlab to detect edge especially based on Wavelet Transform。)

遗传模糊优化算法，对大量信号的处理算法希望对大家研究有帮助。 (Fuzzy genetic optimization algorithm, the algorithm is useful for everyone to want to help.)

Non-local means filter，，用的高斯核。算是改进吧(Non-local means filter,, the Gaussian kernel. For the with the Be regarded as to improve the bar)

说明：  用matlab求解TE模的导模参数，传播常数，入射角度等(Guided mode parameters using matlab to solve the TE mode ，such as propagation constant,the angle of incidence)

说明：  海平面数模程序——针对国际赛的一个题目，很好很实在(Sea-level digital-analog process- a topic for international competitions)

wiener filter for image processing using scartlet

test2: 一、 基本最小二乘法一次算法 二、 基本最小二乘法递推算法 三、 最小二乘遗忘因子一次完成算法 四、 最小二乘遗忘因子递推算法 五、 最小二乘限定记忆算法 六、 最小二乘偏差补偿算法 七、 增广最小二乘算法 八、 广义最小二乘算法 test3: 一、 辅助变量自适应滤波算法 二、 辅助变量纯滞后算法 三、 辅助变量Tally原理算法 四、 多级最小二乘算法 五、 各类改进最小二乘算法的特点 test4: 1、 第二类随机性辨识问题的梯度校正 2、 随机牛顿法 test5: 1、 递推的极大似然估计 2、 预报误差参数辨识 test6: 1、 根据Hankel矩阵秩估计模型阶次(弱噪声) 2、 根据Hankel矩阵秩估计模型阶次(强噪声) 3、 利用行列式比估计模型阶次（白噪声） 4、 利用行列式比估计模型阶次（有色噪声） 5、 利用残差的方差估计模型阶次（白噪声） 6、 利用残差的方差估计模型阶次（有色噪声） 7、 AIV定阶法（白噪声） 8、 AIV定阶法（有色噪声） test7: 1、 一阶惯性+纯滞后环节-----两点法 2、 面积法1 3、 levy法 (test2: First, the basic method of least squares algorithm once Second, the basic recursive least squares algorithm Third, once the forgetting factor least squares algorithm Fourth, the forgetting factor recursive least squares algorithm Fifth, the least-squares algorithm limited memory Six , least squares error compensation algorithm Seven , extended least squares algorithm Eight , generalized least squares algorithm test3: An auxiliary variable adaptive filtering algorithm Second, the auxiliary variable time delay algorithm Third, the principle of auxiliary variable algorithm Tally Fourth, multi-stage least squares algorithm Fifth, the least squares algorithm to improve the characteristics of various types of test4: 1, the second class of stochastic gradient identification problem corrected 2 , randomized Newton test5: 1, the recursive maximum likelihood estimation 2, the prediction error parameter identification test6: 1 , according to the Hankel matrix rank est)

基于粒子滤波实现的纯方位目标跟踪，最后证明该算法收敛(Particle filter based on the realization of the bearings-only target tracking, the final proof of the convergence of the algorithm)