csamt

分数阶算法编程(fopid)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

Simulation DS-SS Rake Receiver

雷达电离层污染校正分段多项式新算法，用于校正污染(radar psp-new)

是地址统计学中kriging插值软件，面向对象操作，可用性强(compute kriging)

有向图中求最大流的一种方法：feasible_match求最大流(Directed graph and maximum flow of a kind of methods: feasible_match for maximum flow)

双目视觉，求双目视觉图像视差图，直接运行demo即可(Binocular vision, seeking binocular disparity map visual images, demo can be run directly)

Matlab在分形模拟上的一些应用！根据程序中迭代的选取，将分形模拟分为确定迭代法和随机迭代法。(Fractal Simulation on Matlab in some applications! According to the procedure in the iterative selection fractal simulation is divided into established and the random iteration method iterative method.)

详细介绍了优化算法-遗传优化算法和粒子群优化算法，给出了编程过程,(Optimization Algorithms (Genetic Optimization Algorithm and Particle Swarm Optimization Algorithm)are introduced in detail,the programm progress is gived)

A simple code for transform wavelet decomposition