yuv

此算法是基于PN序列的经典的定时同步算法，能直接出图，望对大家有用(This algorithm is based on the classic PN sequence timing synchronization algorithms, directly out of maps, useful look on the U.S.)

Flow using diffuse connectivity Research code. Not for commercial use. If you use this code for results in your papers, please cite: A roadmap to the integration of early visual modules, A. S. Ogale and Y. Aloimonos, International Journal of Computer Vision: Special Issue on Early Cognitive Vision Usage: [bestshiftsX, bestshiftsY, occlL, bestshiftsRX, bestshiftsRY, occlR] = flow(iLt, iRt, shiftrangeX, shiftrangeY, alpha) Created by: Abhijit Ogale (ogale@cs.umd.edu)

dsp工具箱，matlab语言实现的，具有基本的运算操作，主要涉及的是矩阵运算。(dsp Toolbox, the Matlab language and have a basic arithmetic operations, it is mainly related to the matrix calculation.)

利用matlab仿真绘制不同的广义路径损耗模型(Simulation using matlab draw different generalized path loss model)

说明：  经典的遗传算法在matlab环境中的实现(Classical genetic algorithm implementation in matlab environment)

说明：  线阵波束形成，线阵天线的波束形成，用于接收不同方向的信号(Line Array Beamforming)

自编四参数法生成多孔介质的matlab程序代码(Four-parameter method to generate self matlab code porous media)

boost environment to apply time sync files all ready

AN INTRODUCTION TO MATRIX MANIPULATION IN MATLAB The power that MATLAB brings to digital image processing is the extensive set of functions that are available in MATLAB for processing multidimensional arrays, of which matrices (two dimensional numerical arrays) have a one to one correspondence with digital images. This tutorial discusses and illustrates a number of ways used to manipulate matrices. Usually, this is the first step in learning how to apply MATLAB tools to image processing applications.

小波分析由于具有同时分析信号时域和频域的特性，所以使用小波分析技术对检测的信号进行变换，然后对具有故障特性的信号进行重构，最后通过希尔伯特变换进行解调和细化频谱分析，从而轴承中的故障信息成分就可以检测出来，以判断轴承发成故障的部位。(Wavelet analysis has the characteristics of both time and frequency domain, so the wavelet analysis technique is used to transform the signal, then the signal is reconstructed. Finally, the fault information components of the bearing can be detected by Hilbert transform.)