Mersad_LPR

地震数据格式之间的转换，sac，miniseed，seed，这些数据格式进行转换(Seismic data conversion between formats, sac, miniseed, seed, the data format conversion)

harris角点检测，用matlab实现(harris corner detection)

Matlab中的高光谱图像中的端元提取算法(An algorithm for the extraction of the end elements in hyperspectral images in MATLAB by Liuliu)

环形电流磁感应强度的分布，点电荷等势面的分布、两个点电荷感应强度的分布(The distribution of the potential surface of the ring current distribution of the magnetic induction, the point charge, two point charge distribution of the flux density)

极限学习机极速学习机\鲁棒ELM代码稳健ELMELM回归ELM二分类离群值\extreme learning machine基于ELM的图像分类与稳健回归算法研究 matlab代码 离群值鲁棒极速学习机文章Zhang, Kai, and Minxia Luo. Outlier-robust extreme learning machine for regression problems. Neurocomputing 151 (2015): 1519-1527.的matlab代码(Matlab codes of the following paper: Zhang, Kai, and Minxia Luo. Outlier-robust extreme learning machine for regression problems. Neurocomputing 151 (2015): 1519-1527. Please see the file ORELM_v1.0.zip )

循环MUSIC算法，利用循环自相关函数实现波达方向估计(Cyclic MUSIC algorithm, the use of cyclic auto-correlation function DOA estimates)

MATLAB/SIMULINK下的采用SVPWM调制的DFIG控制模型。(DFIG with SVPWM in MATLAB/SIMULINK.)

贝叶斯方法 课程报告，源程序和图片在另一个文件夹，搜Bayes program 程序与图片(Bayesian methods course reports, source code and pictures in another folder, search Bayesian methods and procedures and pictures)

tutorial matlab berbahasa indonesia gratis

说明：  MUSIC算法 DOA（Direction Of Arrival）波达方向定位技术主要有ARMA谱分析、最大似然法、熵谱分析法和特征分解法，特征分解法主要有MUSIC算法、ESPRIT算法WSF算法等。 MUSIC (Multiple Signal Classification)算法，即多信号分类算法，由Schmidt等人于1979年提出。MUSIC算法是一种基于子空间分解的算法，它利用信号子空间和噪声子空间的正交性，构建空间谱函数，通过谱峰搜索，估计信号的参数。对于声源定位来说，需要估计信号的DOA。MUSIC算法对DOA的估计有很高的分辨率，且对麦克风阵列的形状没有特殊要求，因此应用十分广泛。(DOA (direction of arrival) positioning technology mainly includes spectrum analysis, maximum likelihood method, entropy spectrum analysis method and feature decomposition method. The feature decomposition method mainly includes music algorithm, ESPRIT algorithm, algorithm, etc. Music (multiple signal classification) algorithm, namely multi signal classification algorithm, was proposed by Schmidt In 1979. MUSIC algorithm is an algorithm based on subspace decomposition. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectrum function, and estimates signal parameters through spectrum peak search. For sound source localization, DOA of signal needs to be estimated. MUSIC algorithm has high resolution for DOA estimation, and has no special requirements for the shape of microphone array, so it is widely used.)