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1)  Continuous Wavelet Transform
连续小波变换
1.
Simultaneous Determination of Iron(Ⅲ),Zinc(Ⅱ)and Copper(Ⅱ) Using Continuous Wavelet Transform and Support Vector Regression;
连续小波变换-支持向量回归方法用于Fe(Ⅲ)、Zn(Ⅱ)和Cu(Ⅱ)的同时测定
2.
Resolution of overlapping gas chromatographic-mass spectrometric signal using continuous wavelet transform-pure variable approach;
连续小波变换-纯变量法解析气相色谱-质谱重叠信号
3.
Classification of Imaginary Hand Movements by Means of Continuous Wavelet Transform and Support Vector Machines;
基于连续小波变换和支持向量机的手动想象脑电分类
2)  CWT
连续小波变换
1.
In pulse modulation identification technique based on CWT;
基于连续小波变换的脉内调制类型识别技术
2.
The Practical Implement of CWT Based on Multithreading;
基于多线程技术的连续小波变换实现
3.
Feasibility Analysis of Implementation of CWT Based on Log-domain Circuits;
基于对数域电路的连续小波变换模拟实现的可行性分析
3)  Continuous wavelet transformation
连续小波变换
1.
Discuss on continuous wavelet transformation;
关于连续小波变换的一个讨论
2.
Wavelet transformation is adopted in this paper,and the basic principles of discrete wavelet transformation and power spectrum estimation based on continuous wavelet transformation are given.
将小波变换用于涡街流量计,介绍了基于离散小波变换和连续小波变换功率谱估计的信号处理方法,给出了仿真步骤与结果,并讨论其特点,从而设计了基于DSP的信号处理系统。
3.
This paper introduces a continuous wavelet transformation for detecting the disturbed partial discharge pulse in power transformer by using different wavelet functions and scale parameters and analyses the result of wavelet transformation.
本文采用了不同小波函数及不同尺度参数对含强载波干扰的局部放电信号进行连续小波变换 ,并对小波变换结果进行了定量对比分析。
4)  continuous wavelet transform (CWT)
连续小波变换
1.
The continuous wavelet transform (CWT) has been used to measure harmonics due t.
连续小波变换 ( CWT)因其良好的时频局部化特性 ,可用来分析谐波。
2.
A novel blind symbol rate estimation algorithm for Continuous-phase Frequency-shift keying (CPFSK) signals was proposed by combining discrete wavelet transform (DWT) and continuous wavelet transform (CWT).
提出一种综合利用离散小波变换和连续小波变换来估计CPFSK信号符号速率的新算法。
3.
Continuous Wavelet Transform (CWT) was adopted to decompose the acquired signals of the electroencephalogram (EEG).
脑—机接口(BCI)是连接大脑和计算机及外部设备的通讯系统,通过连续小波变换(CWT)对采集的脑电信号进行分解,构造由多个尺度对应的方差构成的多维向量,应用支持向量机(SVM)进行分类识别,取得了良好的效果。
5)  continuous wavelet transform(CWT)
连续小波变换
1.
In this paper,we utilize a novel classification method synthesized with continuous wavelet transform(CWT) and Bayesian neural network(BNN) to detect and recognize the characteristic EEG(electroencephalogram) information by using the event related desynchronization(ERD) caused by imaginary movement thinking.
本文采用连续小波变换结合贝叶斯神经网络组成新的分类方法,利用想象动作思维引起的事件相关去同步(ERD)现象进行特征脑电信息检测与模式识别。
2.
A novel method based on continuous wavelet transform(CWT)and guidance of inflexion points of unwrapped phase is developed to measure the phase of non-monotonous fringes.
连续小波变换和展开相位拐点识别的基础上,提出一种非单调条纹图的相位恢复新方法。
3.
The combined detection method is incorporated with the correlation function amplitude vector(CorV) analysis and the continuous wavelet transform(CWT).
进行了用互相关函数幅值向量(crosscorrelation function amplitude vector,CorV)和连续小波变换(continuous wavelet transform,CWT)联合检测损伤的试验研究。
6)  complex continuous wavelet transform
复连续小波变换
补充资料:Radon变换和逆Radon变换


Radon变换和逆Radon变换


X线物理学术语。CT重建图像成像的主要理论依据之一。1917年澳大利亚数学家Radon首先论证了通过物体某一平面的投影重建物体该平面两维空间分布的公式。他的公式要求获得沿该平面所有可能的直线的全部投影(无限集合)。所获得的投影集称为Radon变换。由Radon变换进行重建图像的操作则称为逆Radon变换。Radon变换和逆Radon变换对CT成像的意义在于,它从数学原理上证实了通过物体某一断层层面“沿直线衰减分布的投影”重建该层面单位体积,即体素的线性衰减系数两维空间分布的可能性。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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