neneifind

Fuzzy Auto PID Tuning for DC Motor The Fuzzy system needs 2 inputs e(t) & de(t) and it will get three outputs for tuning the PID gains (KP), (KI) & (KD) depending on the membership functions

一个简单的BP代码 简单实用 可以自己参考参考(A simple BP code is simple and practical can refer to the reference)

matlab写的贝叶斯的压缩感知的代码，应用范围广泛，很不错。(matlab write code compression Bayesian perception, wide range of applications, very good.)

贪婪算法源程序。不只有Matlab程序，还有一些其他软件的。(Greedy algorithm source code. Not only the Matlab program, there are a number of other software.)

说明：  CCNA中文笔记第2章 　DoD模型被认为是OSI参考模型的浓缩品,分为4层,从上到下是1.DoD模型的Process/Application层对应OSI参考模型的最高3层 　　2.DoD模型的Host-to-Host层对应OSI参考模型的Transport层 　　3.DoD模型的Internet层对应OSI参考模型的Network层 　　4.DoD模型的Network Access层对应OSI参考模型的最底2层 (CCNA Chinese Notes Chapter 2 DoD model OSI reference model is considered concentrated products, divided into four layers, from top to bottom is 1.DoD Model Process/Application layer of OSI reference model corresponds to the maximum 3-layer model 2.DoD Host-to-Host layer corresponds to OSI reference model Transport Layer 3.DoD model Internet layer corresponds to OSI reference model Network model Network Access Layer 4.DoD OSI reference model layer corresponds to the bottom layer 2)

digital signal processing

详细的介绍了matlab与其他编程语言的结合的方法和使用(A detailed description of the matlab programming language combined with other methods and the use of)

说明：  matlab编写的FFT变换和滤波的程序(this is matlab code for fft transfering and filtering.)

对瑞利衰落信道的仿真基于Clarke模型，产生一个瑞利随机过程(A Rayleigh fading simulator based on Clarke s Model Creates a Rayleigh random process with PSD determined by the vehicle s speed.)

灰度梯度共生矩阵 H 归一化灰度梯度矩阵 H_basic 小梯度优势 T1 大梯度优势 T2 灰度分布的不均匀性 T3 梯度分布的不均匀性 T4 能量 T5 灰度平均 T6 梯度平均 T7 灰度均方差 T8 梯度均方差 T9 相关 T10 灰度熵 T11 梯度熵 T12 混合熵 T13 惯性 T14 逆差矩 T15(GGCM H normalized gray gradient matrix H_basic small advantage T1 gradient big advantage T2 gradient gray uneven distribution of T3 gradient uneven distribution of energy T5 gray T4 average T6 average gradient gray T7 average gradient T8 variance variance T9 were related to T10 T11 gradient gray entropy entropy of mixing entropy T12 T13 inertia moment T15 T14 deficit)