1) discrete wavelet
离散小波
1.
The method has been applied to diagnose fault signal,compared to the discrete wavelet decomposition.
详细介绍了HHT的理论和算法,然后把该方法用于油膜振荡故障诊断中,并与离散小波变换进行比较,结果证明HHT是处理非平稳信号的一种有效方法。
2.
Through the orthogonal discrete wavelet transformation,we get the discrete wavelet coefficients and use them to define the intermittency coefficients.
通过正交离散小波变换,在离散小波系数的基础上,定义小波系数的间歇性系数,设定间歇性系数阀值,阀值以上的小波系数参与信号的重构,阀值以下的小波系数赋零处理(相当于过滤小脉动)。
3.
With two dimensional discrete wavelet transform, a decomposition and reconstruction approach for 3D subdivision surface was proposed.
利用二维离散小波变换,研究了三维空间下分层表面的分解和重构方法,通过进行高频和低频成份的滤波,得到原始表面的近似表面仿真,所产生误差即为高频滤掉部分。
2) discrete wavelet transform
离散小波
1.
Through the signal decomposition of gamma ray curves and the spectrum analysis of detailed components using discrete wavelet transform technique, the dominant frequency and sedimentary cycle thickness for the detailed components are determined.
应用离散小波变换法对自然伽马曲线进行了信号分解并对各细节分量进行了频谱分析,确定了各细节分量的优势频率及沉积旋回厚度。
2.
Discrete wavelet Tikhonov support vector machines(SVM) is presented to solve the problem of fault diagnosis for 7500 ton floating crane gear box,which combines discrete wavelet transform and Tikhonov support vector machines.
针对7500吨浮吊齿轮箱故障诊断问题,将离散小波变换和Tikhonov支持向量机结合建立了一个浮吊齿轮箱故障诊断系统。
3) discrete wavelet packet
离散小波包
1.
Vibration signal is decomposed to different frequency bands by discrete wavelet packet;and then zero is added to the interested frequency band to reconstruct the defect signal,in that way higher time and frequency resolution are obtained.
用离散小波包将振动信号分解到不同的频带,然后对感兴趣的频带补零重构提高缺陷信号 的时频分辨率。
4) Discrete wavelet transform
离散小波变换
1.
Application of the discrete wavelet transform to fault detection of angular measuring system of a precision servo turntable;
离散小波变换在精密伺服转台测角系统故障诊断中的应用
2.
Voice activity detection based on discrete wavelet transform;
基于离散小波变换的语音激活检测
3.
Analysis of discrete wavelet transform algorithm and its general implementation for programming;
离散小波变换算法剖析及其通用程序实现
5) Discrete wavelet transformation
离散小波变换
1.
Application of discrete wavelet transformation for time-delay estimate in vibroseis exploration;
离散小波变换在可控震源地震勘探信号时延估计中的应用
2.
The Research of Digital Watermarking Technology Based on Discrete Wavelet Transformation and Image Sharing;
基于离散小波变换和图像分存的数字水印技术研究
3.
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。
6) DWT
离散小波变换
1.
Simulation Analysis for MTD Detectability Improvement Using the Discrete Wavelet Transform (DWT);
基于离散小波变换提高MTD检测性能的仿真分析
2.
Hardware Design of a High-Performance 9/7 DWT Filter;
一种高性能9/7离散小波变换滤波器的硬件设计
3.
Research on audio digital watermarking algorithms based on DWT;
基于离散小波变换的音频数字水印算法研究
补充资料：离散时间周期序列的离散傅里叶级数表示
(1)
式中χ((n))N为一离散时间周期序列，其周期为N点，即
式中r为任意整数。X((k))N为频域周期序列，其周期亦为N点，即X(k)=X(k+lN)，式中l为任意整数。
从式(1)可导出已知X((k))N求χ((n))N的关系
(2)
式(1)和式(2)称为离散傅里叶级数对。
当离散时间周期序列整体向左移位m时,移位后的序列为χ((n+m))N，如果χ((n))N的离散傅里叶级数(DFS)表示为,则χ((n+m))N的DFS表示为
式中χ((n))N为一离散时间周期序列，其周期为N点，即
式中r为任意整数。X((k))N为频域周期序列，其周期亦为N点，即X(k)=X(k+lN)，式中l为任意整数。
从式(1)可导出已知X((k))N求χ((n))N的关系
(2)
式(1)和式(2)称为离散傅里叶级数对。
当离散时间周期序列整体向左移位m时,移位后的序列为χ((n+m))N，如果χ((n))N的离散傅里叶级数(DFS)表示为,则χ((n+m))N的DFS表示为
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条