搜索资源列表
2D_EMD_Codes
- 二维经验模态分解,采用形态学求极值点,径向基神经网络拟合,速度较快。
Nunes
- Nunes J.C编写的经验模态分解,用于二维图像处理。
二维经验模态分解在声纳图像压缩中的应用
- 二维经验模态分解在声纳图像压缩中的应用
2D_EMD_Codes
- 二维经验模态分解,采用形态学求极值点,径向基神经网络拟合,速度较快。-Two-dimensional empirical mode decomposition, the use of morphology for extreme points, Radial Basis Function Neural Network Fitting, faster.
Nunes
- Nunes J.C编写的经验模态分解,用于二维图像处理。
EMD-Toolbox
- 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
bemd
- 二维经验模态分解,分解图像等二维信号,可用于算法验证与学习-EMD This program calculates the Bidimensional EMD of a 2-d signal using the process of sifting. It is dependent on the function SIFT.
tt
- 基于快速二维经验模态分解的纹理分割 -Based on rapid two-dimensional empirical mode decomposition of the texture segmentation
2D-EMD
- 用于二维经验模态分解EMD分析-2D-EMD analysis
Bidimensional
- 这是一篇介绍怎么去除二维经验模态分解端点效应的论文,很不错的 极力推荐。-This is a descr iption of how to remove the bidimensional empirical mode decomposition end effect of very good, strongly recommended.
bemd
- 二维经验模态分解,采用形态学求极值点,径向基神经网络拟合,速度较快。-Two-dimensional empirical mode decomposition, using morphology for extreme points, radial basis function neural network fitting, faster.
bemd
- 二维经验模态分解的一个程序,改进了插值算法。输入为图像灰度图-A program of two-dimensional empirical mode decomposition and improved interpolation algorithm. Enter the grayscale image
BEMD_denoise
- 使用二维经验模态分解进行图像的去噪操作,内含三幅测试图片和说明文档-Using Bi-dimensional Empirical Mode Decomposition for image denoising operation
quzao
- 利用matlab进行木材图像去噪的基本算法包含二维经验模态分解和一些经典去噪程序-The basic algorithm matlab to use timber that contains a two-dimensional image denoising empirical mode decomposition and some classical denoising program
9.19
- 二维经验模态的分解的图像分解过程自己已经运行了,可以的,没错误-Two-dimensional image decomposition process decomposition modal experience that they have to run, you can, no errors
abbr_2f7f7e5651e11f2be621581b5056d66e
- 关于二维经验模态分解的经典程序段,图形特征提取(Bidimensional empirical module decomposition)
bemd
- 本程序主要通过二维经验模态分解计算二维信号的IMF,使用筛选的过程。它依赖于函数SIFT。(BEMD This program calculates the Bidimensional EMD of a 2-d signal using the process of sifting. It is dependent on the function SIFT.)
bemd
- 二维EMD程序,这是利用最新的插值函数,个比较经典的二维经验模式分解程序代码,适用于图像的特征提取和分解((A two-dimensional EMD algorithm, the author is Anna Linderhed, her Ph.D. research topic is bidimensional EMD and wavelet transform))
BEMD
- 二维经验模态分解(BEMD)是近年来新兴的一种适用于非线性、非平稳数据的自适应数据(Two-dimensional empirical mode decomposition (BEMD) is a newly developed adaptive data for non-linear and non-stationary data in recent years.)