Face_Recognition_System-zubair_and_suvidha

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

LMS自适应滤波器，已经使用过，完全正确希望有用！啊啊啊啊啊啊啊啊啊啊啊啊啊！(LMS adaptive filter has been used, completely correct hope useful! Ah ah ah ah ah ah ah ah ah ah ah ah ah!)

多输入多输出自适应，用于参数估计，有图。(matlab adaptive program for Parameter estimation)

document for basic learning of OFDM concepts.

现代通信控制理论，该代码详细介绍如何用matlab源程序来判断系统的稳定性与否(Control of modern communication theory, the code details on how to use matlab source code to determine the stability of the system or not)

this code of Particle Swarm Optimization algorithm

LTE系统级仿真，可让您执行网络级仿真3GPP长期演进网络。它较低的复杂度和抽象的物理层是基于建立在LTE链路级仿真的经验。它是免费提供包中含有Matlab源文件以及一些MEX功能（还提供源代码）。(The LTE System Level simulator allows you to perform network-level simulations of 3GPP Long Term Evolution networks. It abstracts the Physical layer for lower complexity and is based on the experience built on the LTE Link Level simulator. It is freely available in a package containing Matlab source files as well as some MEX-functions (for which the source code is also provided).)

本段代码主要是为了实现讲多光谱图像进行光谱分离然后再合并成一种可以在matlab中显示的格式.tif的图像，同时保证了原始的图像信息不丢失(This code is mainly to achieve multispectral images speak for spectral separation and then combined into a format that can be displayed in matlab. Tif image, while maintaining the original image information is not lost)

1.了解离散傅立叶变换及离散余弦变换的基本原理； 2.掌握进行FFT及逆变换的方法； 3.了解图像在频域中处理方法，应用MATLAB语言作简单的低通滤波器。 (1. Understand the discrete Fourier transform and discrete cosine transform the basic principle; 2. master for FFT and inverse transform; 3. understanding of image processing in the frequency domain method, MATLAB language for simple low-pass filter.)

离散数据的傅里叶正交基拟合，matlab程序，可修改(Fourier orthogonal basis of discrete data fitting, matlab program can be modified)