shudu

This matlab code has a PCM siystem

说明：  实现伪彩色增强，包括两种不同的算法。一种是线性变化传递函数，一种是非线性变化传递函数。(Achieve pseudo-color enhancement, including the two different algorithms. One is the linear transfer function, a nonlinear transfer function changes.)

说明：  DPCMchengxu,进行预测编码的程序(DPCMchengxu )

说明：  基础的AOA角度估计算法，MUSIC算法，适用于均匀阵列(Basic AOA Angle Estimation Algorithms, MUSIC Algorithms, Suitable for Uniform Arrays)

自己收集的粒子滤波程序，包括基本的程序，卡尔曼滤波以及改进的算法。(Their own procedures for the collection of the particle filter.)

该函数实现标准的常增益滤波算法，用于状态估计，目标跟踪(Alpfa beta filter)

Finite element solver for therma 1D process.

用于处理简单实验数据的曲线预测，可通过修改函数完成相关的插值或拟合工作(For curve prediction process simple experimental data, to be completed by the relevant interpolation or fitting work by modifying the function)

自己编的以MNV为准则设计Capon波束形成器，N=16，干扰功率分别为40dB，35dB，50dB。代码中比较了MVDR MMSE MSINR三种算法的优劣。(Own series of guidelines designed to MNV Capon beamformer, N = 16, respectively, the interference power 40dB, 35dB, 50dB. Code MVDR MMSE MSINR compare the pros and cons of the three algorithms.)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.