Genetic-Algorithms

说明：  simulink命令集，希望对做仿真的有些帮助！(simulink command set, and they hope to do some simulation to help!)

simulating BER for BPSK in Rayleigh channel with selection diversity

Fuzzy logic algorithm

说明：  实验目的：对带通信号及其低通等效信号进行分析和仿真。 实验内容： 1、参考教材P24面例子，考虑如下带通信号，编写仿真程序实现，得出仿真结果。 （1） 画出该信号和它的幅度谱； （2） 求出该信号的解析信号，并画出它的幅度谱； （3） 求出并画出该信号的包络； （4） 分别假设 和 ，求该信号的低通等效，并画出它的幅度谱。 2、设带通信号为： 通过Matlab编程仿真实现： （1） 画出该信号和他的谱函数（包括幅度和相位） （2） 确定并画出解析信号的谱函数（包括幅度和相位） （3） 画出该信号的包络。 （步骤一，二中，设采样间隔为ts=0.002s）。 (Purpose: To Bandpass and lowpass equivalent signal analysis and simulation. Experiment: 1, reference materials P24 plane example, consider the following bandpass signals, writing simulation program implementation, simulation results obtained. (1) Draw the signal and its amplitude spectrum (2) Find the analytical signal of the signal, and plot its amplitude spectrum (3) Find and draw the envelope of the signal and (4) respectively assumptions and seeking the equivalent lowpass signal and draw its amplitude spectrum. 2, is provided with a communication number: Simulation by Matlab programming: (1) Draw the signal and his spectral function (including amplitude and phase) (2) to identify and draw the analytic signal spectral function (including amplitude and phase) (3) Draw the envelope of the signal. (Step one, two, and set the sampling interval ts = 0.002s).)

采用FDTD方法计算一维空间下，考虑碰撞的等离子体中的电磁场的分布情况(Using the FDTD method for calculating one-dimensional space, the distribution of plasma collision consider electromagnetic fields)

pwm 的 模型 PWM matlab的模型(pwm)

matlab code for Learning the Extended Kalman Filter

gold序列的matlab仿真，生成gold序列，对于扩频跳频通信系统非常有用的好代码，直接用即可。(matlab gold sequence of simulation, generate gold sequence for frequency hopping spread spectrum communication system is very useful for good code can be directly used.)

施瓦茨变换，用于半无穷大平面的变换，matlab代码(Schwartz transform for the conversion of semi-infinite plane, matlab code)

视觉目标识别与跟踪是图像分析中的重要研究领域，在现代化社会中具有广泛的发展前景和应用价值。本文深入研究多示例学习方法，将其应用在视觉目标识别与跟踪领域，解决了在目标识别领域中需要大量制作无歧义样本的问题，解决了目标跟踪领域中，易出现跟踪漂移的问题。(Visual object recognition and tracking is an important image analysis research field, has a broad development prospects and value in the modern society. In this paper, in-depth study of multi-instance learning method, its application in the field of visual object recognition and tracking, resolved in the field of object recognition requires a lot of making unambiguous sample problems to solve in the field of target tracking, issue tracking drift prone.)