基于时域、多分辨率分析和规则基的电能质量扰动分类。
Power quality disturbance classification based on time domain, rule based and wavelet multi - resolution decomposition.
本文给出了信号多分辨率分析在信号消噪方面的具体应用实例。
This paper gives out the examples of the multiresolution analysis in signal canceling noise.
首先基于小波多分辨率分析方法将负荷序列分解成具有不同频率特征的序列。
Firstly, based on wavelet multi-resolution analysis method, the load serials are decomposed to different sub-serials which show the different frequency characteristics of the load.
本文研究了从生物组织的背向散射信号中提取散射元间距信息的多分辨率分析方法。
Multiresolution analysis is used to estimate the scatterer spacing in biological tissue from the back-scattering signal.
为了达到多尺度分频解释的目的，本文将小波多分辨率分析应用到相干体提取过程中。
In order to attain the goal of using multi scale frequency divided data for interpretation, the paper applied the wavelet multi resolution analysis to detect the coherent data volume.
根据人类视觉系统的特点，提出一种融合谱残差和多分辨率分析的显著目标检测方法。
According to the characteristics of human visual system, a salient object detection method based on spectral residual and multi-resolution is proposed.
提出了对传感器采集到的微弱信号进行累加平均和小波变换中的多分辨率分析方法相结合去噪。
The method that combine the cumulative average and multi-resolution analysis in wavelet transform was presented which can de-noise the weak signal collected from the sensor.
在传统图像灰度方差评价函数的基础上，利用小波多分辨率分析，提出了一种新的自动聚焦算法。
On the basis of evaluation function of using image intensity variance, we proposed a new auto-focusing algorithm by means of Wavelet Transform Multi-Resolution Analysis(WTMRA) theory.
多分辨率分析是信号处理特别是图像处理的一种新的有效方法，可以在不同尺度上给出信号的信息。
Multiresolution analysis is an effective approach in signal processing, especially in image processing, to decompose signals in different resolutions.
本文提出一种可在FPGA上实时实现的基于匹配加权函数和多分辨率分析的视频背景运动补偿技术。
In this paper a real-time technology of compensating moving background based on matching weighting function and multi-resolution analysis that can be used in high-capability FPGA is presented.
小波分析被誉为数学显微镜，其多分辨率分析和良好的时频分析能力为信号处理提供了新的有力工具。
Wavelet analysis is known as mathematical microscope, the multi-resolution analysis and a good ability of time-frequency analysis provides a new powerful tool for the signal processing.
然后利用正交多分辨率分析，给出由该尺度函数构造的一类频带有限的M进制正交小波函数的必要条件。
Next, by the orthogonal multiresolution analysis, the necessary conditions of a kind of M-band band-limited orthogonal wavelet function constructed by the scaling function are proposed.
利用小波多分辨率分析方法对去噪后的扰动信号进行检测，更精确地提取出了暂态电压扰动信号的特征值。
Wavelet multi-resolution analysis method was used to detect de-noising disturbance signal, character values of the transient voltage disturbance signal were extracted more precisely.
实验结果表明，小波变换的多分辨率分析对于分析处理具有时变谱特性的非平稳信号是一种新的有效方法。
Experiments show that the multiresolution analysis of wavelet transform is an effective new method for processing unstable signals having time variant spectra.
利用拉普拉斯金字塔分解算法对图像进行多分辨率分析，对分解后的图像采用基于区域特征量测的方法进行融合。
This paper adopts a Laplacian Pyramidal decomposition method to analyze two images, And the decomposed images are fused with the method based on regional features measurement.
根据小波多分辨率分析和水文序列的统计自相似性，提出了水文序列分形维数的小波估计方法，给出了其计算步骤。
Based on the statistical self-similarity of hydrolgy time series, a new approach for estimating the fractal dimension by using successive wavelet transform coefficients is proposed.
掌纹纹理具有明显的总体各向异性以及纹理清晰度的层次性，大部分非常有效的算法都采用了基于多分辨率分析的方法。
Because the palmprint images display the obvious anisotropy and the clear levels of texture, many of the algorithms are based on the multiresolution approach.
通过对采集的振动信号进行小波多分辨率分析和FFT谱分析，得出被测结构振动响应包含的各频率对应的振动波形曲线。
Through wavelet analysis and FFT analysis to the collected structure vibration signal, the vibration wave curves and analysis results of different frequencies are acquired.
小波变换作为一种新型的信号处理方法，因其可以对信号进行多分辨率分析并有高效算法，所以在DSP上得到了广泛应用。
As a new signal processing method, wavelet transform has been widely used on DSP, for it can analyze signal with multi-resolution and has efficient algorithm.
本文基于小波变换具有多尺度多分辨率分析的优点，提出了在特定的小波变换分频瞬时属性上，利用局部结构熵算法来检测地震数据的局部不连续性。
Local structural entropy measure in frequency division is put forward to detect local discontinuities of seismic data, by the virtue of the instantaneous attributes based on wavelet transform.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
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