cycleBsta1_7pinv

本程序非常值得借鉴的一点就是,把Matlab做成了极其具有直观化的具有交互界面,类似于VB的应用程序,希望我们也能多多学习学习(this program very worthwhile reference point is, put Matlab has made a very intuitive the interface is similar to the VB application, hope that we can also learn more study)

PHOTOVOLTAIC MODELISATION WITH SIMULINK

说明：  用matlab平稳时间序列的分析，建模以及预测(ARMA模型)(Analysis, modeling and prediction of stationary time series with MATLAB (ARMA model))

MATLAB 2007科学计算与工程分析代码(Scientific Computing with MATLAB 2007 engineering analysis code)

calculate voltage profile for power systems in matlab M-file

提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表明TOFS方法在中等信噪比以上时有较好的性能,且避免了TOPS方法中常出现的伪峰。 (Proposed a new broadband DOA estimation methods: subspace orthogonal frequency domain test methods (TOFS: Test of orthogonality of frequency sub-space). The method by simultaneously testing the frequency domain signal bandwidth of each band noise common sub-orthogonality between space and the array manifold to be DOA estimates. And broadband coherent signal subspace different methods, TOFS method does not require any initial estimate and focusing operation values. And broadband incoherent signal subspace methods are different, TOFS method for simultaneous testing of each band orthogonal noise subspace and the array manifold between. This paper compares the performance TOFS simulation and IMUSIC, CSSM, TOPS is. Simulation results show that the method TOFS better performance when more moderate SNR and spurious peaks TOPS method avoids the often occur.)

测量角度：读取图像并选择含有角度的区域，求取角的直线边界，计算直线间的角度。(Measuring angles: read image and choose contain Angle of regional and calculating the Angle between the line, line border calculation.)

说明：  属于一群算法，用于通用性解决最短路径问题，方便快捷。(Belongs to a group of algorithms for solving shortest path problem versatility, convenience)

这是基于matlab的关于LPCC (Linear Predictive Cepstral Coding)(线性预测倒谱系数) 的代码，对大家理解有一定帮助。(This is based on the matlab LPCC (Linear Predictive Cepstral Coding) (Linear Predictive Cepstral) code for us to understand some help.)

基于matlab平台下，可实现聚类分析功能。（直接实测代码）(Based on the MATLAB platform, clustering analysis function can be realized. (direct measured code))