Neville

Using spectra to calculate strength of reflections and losses in passive cavities.The wavelength, reflection spectrum and transmission spectrum should be in the first 3 columns of an Excel file, which is selected when the cavity.m Matlab file is run. (Using spectra to calculate strength of reflections and losses in passive cavities.The wavelength, reflection spectrum and transmission spectrum should be in the first 3 columns of an Excel file, which is selected when the cavity.m Matlab file is run.)

本程序实现QPSK信号，通过瑞利信道后的各部分星座图(The program QPSK signal, Rayleigh channel through each part of the constellation after)

实现从RGB到HSV的转化 实现从RGB到HSV的转化(RgbToHis)

a kmean clustering prog

最新的moea优化方法！一种解决大规模多目标复杂问题的优化算法！(The latest moea optimization method! A solution to the complex problem of large-scale multi-objective optimization algorithm!)

说明：  本文通过对目前常用的现代谱估计方法一一最大墒谱估计方法中的谱 峰幅度和谱线分辫率两个基本问题的分析和讨论，和经典的傅立叶谱估计方法作比 较，指出在最大墒谱估计方法的应用中应注意的几个问题。 (Based on the currently used modern spectral estimation method 11 method of maximum entropy spectral estimation of the spectral peak amplitude and spectral resolving power are two basic problems of analysis and discussion, and the classical Fourier spectrum estimation methods for comparison, that the maximum Application of entropy spectral estimation method should pay attention to several issues.)

输入一副图像，检测图像的RGB，并输出其值的矩阵，将符合公式R>Rt，R>G>B,S>=(255-R)*S/R,等的图像点标记出来，并输出图像(A pair of input images, the image detecting RGB, and outputs the value of the matrix, would be consistent with the formula R> Rt, R> G> B, S> = (255-R)* S/R, and other image point marked, and output image)

假定半波长间隔均匀分布线列布阵的阵元数N=16，若入射平面波为f=62.5Hz的正弦信号，信号持续时间为0.4s， 系统采样频率 =1 KHz,阵列加权为均匀加权，分别给出 a)当平面波信号分别从 0,10,20,30,40,50,60,70,80,90,100度方向入射时，指向90度的波束形成器的输出序列； b)当平面波信号分别从0:1:180度方向入射时，指向90度的波束形成器的输出序列经过平方求和后的分贝数输出（把所有181个输出绘制在同一幅图中)(Assuming N=16, f=62.5, fs=1KHz, uniform weight, and the code gives: a) 90 degree response when incidence angles are: 0: 10: 100 degrees b) 90 degree spectral response when incidence angles are: 0:1:180 degrees )

对采集来的图像进行预处理，去噪、滤波、提取出边缘的图像。(The collected image preprocessing, noise reduction, filtering, extracting the edge image.)

现代图像处理技术及Matlab实现，介绍了一些matlab用法(modern image processing technology and Matlab, introduced the use of Matlab)