PCA

本程序实现root-music算法实现波达方向的估计，能直接运行，有参考价值。。(This program implements root-music DOA estimate algorithm, and can be run directly, there is a reference value. .)

说明：  一种新的优化算法，正余弦优化算法。提出了一种新的基于种群的优化算法,叫做正弦余弦算法(SCA).(A new optimization algorithm, sine cosine optimization algorithm. A new optimization algorithm based on population is proposed, which is called sine cosine algorithm)

该压缩包里有 MATLAB的许多源码，包括插值拟合。绘图等(MATLAB)

利用 matlab进行数字图像矩阵数据的显示及其傅立叶变换(the show of digital picture )

It s about connection of matlab and abaqus

对给定的函数进行最速下降法求最低点的例子(a example for deepest method)

说明：  这是基于自组织竞争神经网络的例题 具体的自己看(This is based on self-organizing competitive neural network that looks at specific examples)

说明：  ％利用乘同余法写的白噪声程序 ％对于辨识有一定帮助 ％相关方法可以参照乘同余法原理( Use by the same method to write more than the white noise process for the identification of definite help in correlation method can refer to law by the principle of congruence)

波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)

eigenvalue decomposition