用传输矩阵的方法和Matlab技术研究光子晶体的缺陷模式

segy format sidescan analysis package

常见的基于人类视觉特性的图像增强算法由于是同时完成动态范围压缩和对比度增强,导致增强图像的整体对比度不高、边缘部分效果不佳.通过分析人类视觉系统的全局和局部自适应调节原理及人眼视网膜神经节细胞感受野的传输特性,提出一种仿生图像增强法.为适应人类视觉系统对光强的主观感觉特性,对图像作全局亮度对数变换 并利用人眼的主观亮度感觉与实际光强的对数呈局部线性关系的特性,采用视网膜神经元感受野三高斯 模型来调整亮度图像的局部对比度 最后利用线性变换恢复图像的彩色信息.实验结果表明,该算法的增强效果良好,特别是对于图像边界处,既能很好地增强边缘对比,又可有效地提升区域亮度对比和亮度梯度信息. (image enchancement)

双线性插值与最近领域插值的matlab源程序，两种算法的效果比较。(Recently, the field of bilinear interpolation and interpolation matlab source, comparing the effects of two algorithms.)

该程序可以进行在windos界面下，在matlab环境下录音！！！！！！1(The procedure can be carried out in windos interface in matlab environment recording! ! ! ! ! ! 1)

Data Description Tools for SVDD analysis

laplace problem by fem

反馈控制系统设计与分析教程中所有例子的语言程序(Feedback control system design and analysis of all the tutorial examples of the language program)

浙大版最优化方法，写的比较好的一本，对学习最优控制很有启发(Zheda version optimized method to write a good, very instructive learning optimal control)

Pass the Images Through Optics -- Use a Gaussian "Aperture Function" This code segement can use a measured aperture function just as easily - simply replace the next five lines by "load measured_aperture" where measured_aperture is the measured function strored in ASCII and the data stored in the file measured_aperture.mat is a MATLAB .mat file that contains the matrix apfunction. (in MATLAB type "help load" for how to use load and look at the c and fortran code that shows how to read and write MATLAB .mat files). (Note: When the Point Spread Function is Gaussian, then so is the Aperture function) To simulate the effect of the tracker optics, each of the movie frames is now blurred using a 2-D FFT (Fast Fourier Transform). The first frame of the resulting image is shown in Figure 1.

说明：  整个系统分为数据采集和数据分析两大部分，以友好的图形界面与用户进行交互沟通。 声音数据采集部分实现数据采集功能,根据用户选择的采样频率和预设的采样时间来从声卡获得用户需要的数据。并且将采集到的数据及其频谱图以图形方式很直观的呈现于用户面前。 图像采集分析部分，读入图像后，根据选择，对其进行Linear Conformal、Affine、Projective、Polynomial、Piecewise Linear、Sinusoidal、Barrel、Pin Cushion变换(The whole system is divided into data collection and data analysis of two parts, with a friendly graphical interface to communicate with the user interaction. Sound data collection part of the data collection function, according to user-selected sampling frequency and sampling time to the default user from the sound card to obtain the data needed. And the collected data and the spectrum is very intuitive graphically presented in front of the user. Image acquisition and analysis section, read the image, based on the choice of its Linear Conformal, Affine, Projective, Polynomial, Piecewise Linear, Sinusoidal, Barrel, Pin Cushion Transformation )