多自由度有阻尼系统的MATLAB求解代码

The circular convolution, also known as cyclic convolution, of two aperiodic functions (i.e. Schwartz functions) occurs when one of them is convolved in the normal way with a periodic summation of the other function.

几个很好的mimo算法程序，写这方面毕设时候会有帮助(mimo Detection algorithm)

MAP最大后验估计，用于图像去噪方面尤其是MR图像低噪声水平时(it was demonstrated that the MAP estimator provides less biased estimation of OCT signal amplitude and intensity. It also provides higher contrast images at the vitreous and choroid than standard signal intensity averaging and can enhance the clinical utility of OCT. The quantitative estimation of MAP can be used as preprocessing for further analysis of OCT. In particular, OCT intensity images obtained by MAP estimation can enhance the ability of other quantitative signal evaluation methods, such as attenuation coefficient imaging. This will finally enable more accurate diagnosis of pathologies.)

How C# calls Matlab? This is the solution

说明：  实现雅可比叠代算法 在matlab中 输入矩阵A,b, 初值x 调用该函数 得到结果(achieve Jacobi iterative algorithm in Matlab input matrix A, b, x initial function to be called the results)

说明：  对采集到的数据进行分析，并有相对的频谱转换，观察频域的信号(On analysis of data collected, and the relative frequency conversion, frequency domain signal observed)

华盛顿大学机器人课程的教学作业，是学习Kalman滤波和粒子滤波很好的仿真平台。稍加改动可以将该平台作为SLAM学习，多目标跟踪等问题的实验平台。深入学习可以得到更多回报，具体算法的实现可以参考本站内的EKF-SLAM和Fast-SLAM(You are to write a particle filter and a Kalman filter for robot localization. The script generates motion information according to the odometry-based motion model. Observations are landmark detections. Each landmark has a unique ID. )

Beamformer design for Zero Forcing and Dirty Paper Coding

用matlab实现雨流法统计,对疲劳统计，寿命统计很有用(rainflow stastics by matlab, very useful)

In this paper, we present two novel class-based weighting methods for the Euclidean nearest neighbor algorithm and compare them with global weighting methods considering empirical results on a widely accepted time series classification benchmark dataset. Our methods provide higher accuracy than every global weighting in nearly half of the cases and they have better overall performance. We conclude that class-based weighting has great potential for improving time series classification accuracy and it might be extended to use with other distance functions than the Euclidean distance.