FLD_based-Face-Recognition-System_v2

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

空时无线通信导论，本书系统介绍了通信基本理论，是研究通信入门的必不可少的教材。对ＭＩＭＯ的研究及其广泛。(Space-time wireless communications Introduction, the book systematically introduces the basic theory of communication, is to study the entry of essential communication materials. Its extensive research on MIMO.)

汽车直线行驶工况分析，simulink模型，可自行修改参数(Automotive straight driving cycle analysis, simulink model, free to modify the parameters of)

matlab源代码 主要是进行有限元计算的(matlab source code is mainly carried out finite element calculations)

用SIMULINK仿真的NCO，可以直接运行(Use SIMULINK NCO can be run directly)

matlab中的混合编程及各类接口的使用实例。包括notebook,excel,word,mat,dll,color map,Implicit function，debugging等多个方面的多个实例。(matlab Mixed programming and examples of the use of various types of interfaces. Include multiple instances of multiple aspects of the notebook, excel, word, mat, dll, color map, Implicit function, debugging, etc.)

基于改进的人工势场法的机器人路径规划，加入bug算法避免机器人陷入局部最小(Robot path planning based on improved artificial potential field method, adding the robot bug algorithm avoids local minima)

语音信息处理的好帮手，希望大家支持，非常感谢各位大侠(Voice messaging is a good helper, hope you will support, thank you heroes)

说明：  原理：以待处理的像素作为中心，取一个nXn的模板，在模板中选择k个与待处理像素的值最接近的像素，将这k个像素的均值替换原来的像素值。 假设n=3，k=5，调用方法：b = KNNMeanFilter(a, 3, 5)(Principle: to be treated as the center pixel, take a nXn template select the template and the pending k-nearest pixel values of pixels, this k pixels mean replacing the original pixel value. Assuming n = 3, k = 5, call the method: b = KNNMeanFilter (a, 3, 5))

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