Robot_ML

This report explains the queuing systems in a small clinic which has two types of queuing systems and can be denoted by Kendall’s notation M/U/1 and M/M/2. The confidence intervals for necessary queuing parameters are calculated for both of the queuing system. Finally in the view of the results the critical issues are discussed.

说明：  使用A*算法实现多机器人路径规划，功能完善，交互选择目标点和机器人(Perfect function, interactive selection of target point and robot, perfect function, interactive selection of target point and robot)

matlab平台下的测试函数Rosenbrock，对于用来测试粒子群、遗传等智能算法的性能非常有用(matlab platform test function Rosenbrock, used to test for the PSO, the performance of genetic algorithms and other useful intelligence)

Estimates the power spectral densities (PSDs) using the ML-based empirical Bayes method for deciding the diagonal loading.

基于L阵的二维信号稀疏分解的DOA估计 应用稀疏分解方法进行二维DOA估计(Estimation sparse decomposition method based on two-dimensional signal-dimensional DOA estimation of sparse matrix decomposition L DOA)

实现车牌定位 matlab程序 对车牌进行分割提取(License Plate Location realize matlab program to extract license plate segmentation)

GM(1,1)灰色预测的matlab的.m文件，可以直接使用。(GM (1,1) in matlab forecasts gray. M files can be used directly.)

本文档是一个相关函数与协方差函数的计算函数(This document is a correlation function with the covariance function calculation function)

用Matlab仿真实现最小二乘法和总体最小二乘法估计 假设仿真的观测数据 产生，其中 为0均值， 单位方差的高斯白噪声，取n=1,2,....128。 试用TLS，取AR阶数为4，估计AR参数 和正弦波频率；再用SVD-TLS ，估计AR参数 和正弦波频率。 (1)、在仿真中，AR阶数取为4和6。 (2)、执行SVD-TCS时，AR未知。仿真运行至少二十次。 (Simulation using Matlab and the overall least squares least squares estimate assumptions simulated observation data are generated, where 0 mean, unit variance Gaussian white noise, take n = 1,2 ,.... 128. Try TLS, take AR order of 4, estimated AR parameters and the sine wave frequency then SVD-TLS, estimated AR parameters and the sine wave frequency. (1), in the simulation, AR order is taken as 4 and 6. (2), when the implementation of SVD-TCS, AR is unknown. Simulation run at least twenty times.)

旋转点目标的SAR成像算法。分析了旋转对常规成像的影响，之后进行了补偿。(Rotating point target of SAR imaging algorithm. Analysis of the impact of rotation on conventional imaging, after the compensation.)