ODEaMMATLAB

学习MATLAB的经典例子，能够很好的帮助你学好MATALB(MATLAB' s classic example of learning that can help you learn good MATALB)

说明：  moea.multi objective evolutionary algorithm in bacterial optimization process.

线性调频信号是典型的脉冲压缩信号，在雷达波形设计中要重要的作用。本实例给出了调频雷达中混入正弦波噪声和高斯噪声时如何抑制噪声从而恢复调频信号的过程(LFM signal is a typical pulse compression signal, the radar waveform design to an important role. This example shows the sine wave frequency modulated radar mixed with noise and Gaussian noise, how to suppress the noise FM signal to the process of recovery)

基于卷积码，AWGN信道的OFDM系统仿真(Based on convolutional codes, AWGN channel OFDM system simulation)

CR Code by Mat-lab (Relation between primary and second user)

萤火虫算法（Firefly Algorithm）是一种启发式算法，灵感来自于萤火虫闪烁的行为。萤火虫的闪光，其主要目的是作为一个信号系统，以吸引其他的萤火虫。剑桥大学的Xin-She Yang（音译：杨新社）教授提出了萤火虫算法，其假设为[1]： 萤火虫不分性别，这样一个萤火虫将会吸引到所有其他的萤火虫 吸引力与它们的亮度成正比，对于任何两个萤火虫，不那么明亮的萤火虫被吸引，因此移动到更亮的一个，然而，亮度又随着其距离的增加而减少 如果没有比一个给定的萤火虫更亮的萤火虫，它会随机移动。 亮度应与目标函数联系起来。萤火虫算法是以自然为灵感的启发式优化算法(The Firefly Algorithm (are) Algorithm is a kind of heuristic Algorithm, inspired by the behavior of the fireflies flash. Fireflies flash, its main purpose is to as a signaling system, to attract other fireflies. The university of Cambridge, Xin- She Yang (transliteration: Yang Xinshe) professor firefly algorithm is proposed, its hypothesis in [1]. Fireflies regardless of gender, such a firefly will attract all the other fireflies Attractive proportional to their brightness, for any two fireflies, less bright fireflies are attracted, so moving to a brighter, however, brightness and reduce with the increase of the distance If there is no more than a given fireflies light of fireflies, it will move randomly. Brightness should be linked with the objective function. The firefly algorithm based on natural inspiration of heuristic optimization algorithm)

conversion de matlab vers c++

simple laboratory problem volved by matlab 2

通过对基4快速傅里叶的介绍，使用matlab实现了基4快速傅里叶变化(Through the radix-4 Fast Fourier presentation, using matlab to achieve a base four fast Fourier transform)

视频跟踪检测 背景核密度估计建模，欢迎指正，谢谢(Detection of the background video track modeling kernel density estimation, please correct me, thank you)