pa_in_out_memoryless

光参量放大中信号波长对转换效率的影响matlab仿真代码(Optical parametric amplification of the signal wavelength conversion efficiency of matlab simulation code)

This is a filter design document in digital and analog domain. There is matlab code

Matlab code to generate simply OFDM

遗传算法matlab代码，经过检测无错，希望对大家有用(Genetic algorithm matlab code, error detection)

说明：  Kalman算法迭代时对输入信号的跟踪曲线(Kalman algorithm is iterative when the input signal of the tracking curve of)

依照APF工作原理，进行MATLAB模型搭建，系本人精心制作，绝对原创，效果理想，适合APF行业人士进行相关研究！(In accordance with APF works, for MATLAB model structures, systems, I elaborate, absolutely original, successful, suitable for APF professionals to carry out research!)

利用边界追踪法对图像进行轮廓提取，此函数文件得到的是边界点对应位置索引矩阵(Boundary tracking method using the image contour extraction, this function is to get the file location of the boundary points corresponding to the index matrix)

针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.(Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion.)

EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。 (Time frequency toolbox for use with MATLAB The Time-Frequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim, R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin, O. Michel and P. Abry for their help at different phases of the development.)

已知RGB立方体八个顶点的像素值，要求输出该立方体对应的6个面的 .ppm 格式的图像。每个图像大小是512X512像素(Known RGB pixel values ​ ​ of the eight vertices of the cube, the required output image ' .ppm' format corresponding to 6 of the cube faces. Each image size is 512X512 pixels)