Arthamatic-comultaions-lab-codes

故障诊断方面的一篇文章，发表在Automatica上，具有很大的参考意义。(Fault diagnosis of an article published in Automatica, and has great reference value.)

光场2D转4D的算法代码,实现从原始光场2D图像中获取4D光场数据，可用于后期的重聚焦等处理(Light field 4D data recovered 2D raw image)

各种资源分配算法实现，合成孔径雷达（SAR)目标成像仿真，用MATLAB编写的遗传算法路径规划。( Various resource allocation algorithm, Synthetic Aperture Radar (SAR) imaging simulation target, Genetic algorithms using MATLAB path planning.)

unit should be promoted in future work. The real implementation of the system is an issue that has been mentioned and should be analyzed while the simulation procedure exalts. Other simulation programs such as PSpice should be used to compare their results. The inverters need to develop in order to be more efficient and up to date, to

实现（2，1，7）卷积编码以及相应的viterbi译码(achieve (2,1,7) convolutional code and the corresponding Viterbi decoding)

用matlab编写的suzuki模型的衰落信道仿真模型(using Matlab model prepared by the suzuki the fading channel simulation model)

采用LMS算法的频域均衡技术研究,lms在频域均衡方面的应用。(LMS algorithm using frequency domain equalization technology research, lms balance in the frequency domain applications.)

The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.

GPS和INS联合导航matlab程序，在紧密组合的基础上进行了算法变成，经验证，仿真有效。(GPS and INS navigation matlab program)

这是基于matlab的通过遗传算法解决物流配送车辆路径问题(This is based on matlab by genetic algorithms to solve the logistics distribution vehicle routing problem)