fuzzy_logic

微信定位源代码,微信定位精灵,定位助手,微信定位软件(Micro-channel positioning source code, micro-channel positioning elves, positioning aides, micro-channel positioning software)

感知准则函数是五十年代由Rosenblatt提出的一种自学习判别函数生成方法，Rosenblatt企图将其用于脑模型感知器，因此被称为感知准则函数。其特点是随意确定的判别函数初始值，在对样本分类训练过程中逐步修正直至最终确定。 (Perception criterion function is the 1950s proposed by Rosenblatt, a self-learning discriminant function generation method, Rosenblatt attempt for a brain model of perception, is known as the perception of the criterion function. Its characteristics are free to determine the discriminant function of the initial value, the gradual modification in the sample classification training process until finalized.)

完成M=4的PSK通信系统的蒙特卡洛仿真，信号波形为sbr2p(snr_in_dB) 求出以dB为单位的给定信噪比的比特误码率和符号误码率(Completion of M = 4 of the PSK communication system Monte Carlo simulation, the signal waveform is sbr2p (snr_in_dB) calculated in units of dB signal to noise ratio for a given bit error rate and symbol error rate)

基于rosenstein法的混沌时间序列最大利亚普诺夫指数算法(Method based on chaotic time series rosenstein largest Liapunov exponent algorithm)

运用matlab，LBP局部二值模式程序的完整阐释，对学习LBP帮助效果佳(Use matlab, full interpretation of LBP Local Binary Pattern program to help good effect on learning LBP)

移动通信仿真实验，AWGN信道下BPSK调制系统的误码率仿真与分析（验证性），无线通信信道建模，CDMA系统设计与仿真 。(Mobile communications simulation, AWGN channel bit error rate BPSK modulation system simulation and analysis (confirmatory), a wireless communication channel modeling, CDMA system design and simulation.)

直流电动机机械特性仿真m文件，功能很好的模版，只要填入你的数据，就可以用了(motor character simulink )

2D PWM Photonic crystal source code

压缩感知的仿真算法，使用的是SOMP恢复算法。(Compressed sensing simulation algorithm, using SOMP recovery algorithm.)

在多目标灰色狼优化器（mogwo），固定大小的外部文件集成到该gwo保存和检索的帕累托最优解。该档案被用来定义社会等级，并在多目标搜索空间中模拟灰狼的捕猎行为。(In the Multi-Objective Grey Wolf Optimizer (MOGWO), a fixed-sized external archive is integrated to the GWO for saving and retrieving the Pareto optimal solutions. This archive has been employed to define the social hierarchy and simulate the hunting behavior of grey wolves in multi-objective search spaces.)