gaochao

系统辨识及其MATLAB程序与剖析，非常好的程序，注释很详细，有很大的帮助(MATLAB System Identification and its procedures and analysis, very good procedures, the Notes are detailed, very helpful)

说明：  非线性最小二乘优化问题 非线性最小二乘优化问题的程序，欢迎各位下载(Nonlinear least squares optimization problem of nonlinear least square optimization procedure, to welcome you to download)

实现了跟踪中的概率互联算法（PDAF），模型采取匀速直线模型。(Probability in the track association algorithm (PDAF), the model to take the uniform linear model.)

2元BPSK调制加高斯信道硬判决统计误码率(2 yuan plus Gaussian channel BPSK modulation hard decision error rate statistics)

在二进制数字调制中，当正弦载波的相位随二进制数字基带信号离散变化时，则产生二进制移相键控(2PSK)信号。 通常用已调信号载波的 0°和 180°分别表示二进制数字基带信号的 1 和 0，用matlab实现其功能。(In binary digital modulation, phase when the sine wave with the discrete binary digital baseband signal changes, then generates a binary phase shift keying (2PSK) signal. Usually expressed respectively 1 and 0 binary digital baseband signal with the modulated signal carrier of 0 ° and 180 °, to achieve its function with matlab.)

在matlab界面上,用鼠标实现任意图形的绘制(just for plot figure using your mouse)

一种基于3D_ESPRIT的散射中心参数估计算法_温晓杨(A 3D-ESPRIT Method for Radar Target Scattering Centers Parameters Estimation)

This is a program for extracting objects from an image. Written for vehicle number plate segmentation and extraction. Authors : Jeny Rajan, Chandrashekar P S. U can use attached test image for testing input - give the image file name as input. eg :- car3.jpg(This is a program for extracting objects from an image. Written for vehicle number plate segmentation and extraction. Authors : Jeny Rajan, Chandrashekar P S. U can use attached test image for testing input- give the image file name as input. eg :- car3.jpg)

对跳频通信同步状态的理解对跳频通信同步状态的理解(Synchronization of frequency hopping communication understood the state of synchronization status on the understanding of frequency-hopping communication)

遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群(Genetic algorithm,GA,SGA)