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pcf8563t驱动程序
- PCF8563 的驱动程序，用两个普通的IO口模拟I2C总线，包括100KHZ（T=10US）的标准模式选择和400KHZ的快速模式选择，默认11.0592MHZ的晶振-PCF8563 of the driver, with two ordinary analog IO I2C bus, including the extremely low distortion (T = 10US), the standard model selection and 400KHZ fast mode sele
calibr
- The camera calibration toolbox for Matlab (version 3.0) utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model
calibr
- Camera calibration toolbox for Matlab. The camera calibration toolbox for Matlab utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model.
摄像机标定工具箱(MATLAB)
- The camera calibration toolbox for Matlab (version 3.0) utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model.
RLS_LMS
- 数字预失真系统，功放是Wiener-Hammerstein模型，预失真是记忆多项式模型，自适应算法采用RLS-LMS混合算法不。-Digital pre-distortion system, power amplifier is a Wiener-Hammerstein model, pre-distortion is memory polynomial model, using RLS-LMS adaptive algorithm hybrid algorithm does not.
Lecture2
- 畸变校正讲义 讲述摄像机成像原理 把几种典型的等效模型详细概述-Lecture about the camera distortion correction to several typical imaging principles detailed overview of the equivalent model
24-03-01
- A Novel Audio Watermarking Algorithm for Copyright Protection of Digital Audio Abstract Digital watermark technology is now drawing attention as a new method of protecting digital content from unauthorized copying. This paper presents a nov
sperlich_roland_200508_phd
- 一个matlab编写的基于volterra行为模型的数字预失真仿真程序。-Volterra matlab writing a behavioral model based on the number of pre-distortion simulation program.
distortion
- 如何从文件加载3D模型，并且平滑的从一个模型变换为另一个模型。-How to load the 3D model from the document, and smooth transformation from one model to another model.
CCD
- CCD摄像机标定的研究 计算机视觉；三维重建；摄像机模型；摄像机标定；畸变-CCD camera calibration in computer vision research three-dimensional reconstruction camera model camera calibration distortion
Polynomial_Mem_Predistorter
- 该代码给出了在有记忆情况下，基于多项式的功率放大器预失真算法仿真。-The code presents the simulation results about memory power amplifier pre-distortion algorithms based on polynomials.
5
- 数字图像处理◆5.0 概述 ◆5.1 退化模型 ◆5.2 常见退化模型及辨识方法 ◆5.3 图像的无约束恢复 ◆5.4 图像的有约束最小二乘恢复 ◆5. 5 几何畸变图像的恢复 5.6 超分辨率图像复原-Digital image processing ◆ 5.0 Overview ◆ 5.1 Degradation Model ◆ 5.2 Common degradation model and identification method for n
correction-method
- 该文通过对光学成像系统中非线性畸变的分析,提出了一个数字校正方法。 该方法利用与光轴对称的径向畸变数学模型求出光学镜头的校正系数,对畸变图 像进行校正。对校正方法的程序实现进行讨论,给出了对实际畸变图像进行校正 的实验结果-This article through to the distortion of the nonlinear optical imaging system are analyzed and a digital correction method. This
correctionforlasercuting
- 实际光学元件的畸变波前建立了畸变波前模型,畸变进行了仿真研究,给出了二维平面的matlab源代码-The actual wavefront distortion of optical components to establish a distorted wave-front model, a simulation study of distortion are given two-dimensional plane, the source code matlab
CorrectCarNoImageAndRegnize
- 一种车牌图像校正新方法 【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机（LS-SVM）的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法：首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验
DPD
- 讲述了一种功放数字预失真记忆模型，对算法进行了仿真-Describes a digital pre-distortion amplifier memory model, a simulation of the algorithm
Estimation-src
- 图像的分割 segement 能运行的代码 Algebraic Lens Distortion Model Estimation src.zip-Image segmentation segement of code to run Algebraic Lens Distortion Model Estimation src.zip
zhang
- zhang的共面摄像机标定法，包括线性初始值求解，并带有畸变模型的非线性求精解。-The zhang coplanar camera calibration method, including solving linear initial value, with the distortion model of the nonlinear refinement solution.
PA-nonlinear-model
- 功率放大器非线性模型的建立，并得出失真曲线，使用的是saleh多项式-Amplifier nonlinear model, and come to the distortion curve
calibr
- 一个简单的摄像机标定程序，3.0版本： *畸变模型已经逆转 *方圆几何新的规划 *三步过程 *新初始化方法-A simple camera calibration procedure, version 3.0:* distortion model has been reversed* radius geometry new planning* three-step process* new initialization method