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11.
A stochastic model for local disturbances, particularly for a temporal harmonic with random modulations in amplitude and/or phase, is proposed in this paper. Results for the second moment responses of a linear single-degree-of-freedom system to this type of stochastic loading demonstrate a significant change in response characteristics due to a small uncertainty. A local phenomenon may last much longer and resonance may be smeared to a broad range. Integrated with wavelet transform, the proposed approach may be used to model a random process with non-stationary frequency content. Especially, it can be effectively used for Monte Carlo simulation to generate large size of samples that have similar characteristics in time and frequency domains as a pre-selected mother sample has. The technique has a great potential for the case where uncertainty study is warranted but the available samples are limited. 相似文献
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13.
基于子波变换的涡街流量传感器信号分析 总被引:6,自引:0,他引:6
长期以来 ,如何提取潜在噪声下的涡街流量信号一直是个问题。流体流速脉动 ,局部阻力 ,随机振动———所有这些因素都给解决这一问题带来难度。文章应用子波变换消噪理论 ,从软件滤波的角度分析了强噪声干扰下的涡街流量信号 ,并提出了单支重构计数方法。分析结果表明 ,这种方法对低流速流量计量效果很好 ,能够有效地扩展量程下限 相似文献
14.
传统的多载波调制都是采用对传输信道进行等带宽划分的方式。为了更好地适应信道传输特性,一个很有应用前景的发展方向是采用非等带宽划分信道的多载波调制方式。本文提出了一种利用正交小波包变换实现的非等带宽划分信道的多载波调制方法。理论分析和实验结果表明,这种方法对于提高信道的传输性能有很大的潜力。 相似文献
15.
Didier Lemoine 《Computer Physics Communications》1996,97(3):331-344
A quantum wave packet code for studying nonreactive scattering of closed-shell atoms or diatomic molecules from a rigid surface is described. The time evolution relies on the Chebychev propagator. Up to 5 collider degrees of freedom, 3 in translation and 2 in rotation, are treated in a pseudospectral way with the momentum or finite basis representation as the primary space. Potential matrix elements are efficiently evaluated by means of sequential 1D transformations between momentum and coordinate spaces. Fast Fourier transforms are performed for the translational and azimuthal coordinates whereas a Gauss-Legendre transform is used for the polar coordinate. This pseudospectral strategy minimizes memory requirements because no off-diagonal Hamiltonian matrix elements need to be stored. In addition, a wide variety of physical systems can be studied since no particular functional form is imposed for the interaction potential. 相似文献
16.
Dantong Yu Gholamhosein Sheikholeslami Aidong Zhang 《Knowledge and Information Systems》2002,4(4):387-412
Finding the rare instances or the outliers is important in many KDD (knowledge discovery and data-mining) applications, such
as detecting credit card fraud or finding irregularities in gene expressions. Signal-processing techniques have been introduced
to transform images for enhancement, filtering, restoration, analysis, and reconstruction. In this paper, we present a new
method in which we apply signal-processing techniques to solve important problems in data mining. In particular, we introduce
a novel deviation (or outlier) detection approach, termed FindOut, based on wavelet transform. The main idea in FindOut is to remove the clusters from the original data and then identify
the outliers. Although previous research showed that such techniques may not be effective because of the nature of the clustering,
FindOut can successfully identify outliers from large datasets. Experimental results on very large datasets are presented
which show the efficiency and effectiveness of the proposed approach.
Received 7 September 2000 / Revised 2 February 2001 / Accepted in revised form 31 May 2001
Correspondence and offprint requests to: A. Zhang, Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA.
Email: azhang@cse.buffalo.eduau 相似文献
17.
小波分析在信号消噪中的应用 总被引:8,自引:0,他引:8
用小波分析进行信号消噪常用多尺度小波变换和小波包变换.多尺度小波变换是将信号分解成高频和低频成分,低频包含信号的主要性能,高频含较多噪声,将高频平滑后再重建即可消噪.其消噪处理有强制、默认阈值和给定软/硬阈值3种方法.小波包变换消噪是将信号的小波包分解、计算最佳小波包基、分解系数的阈值化处理及重构原来信号实现消噪.并给出了几个Matlab消噪函数:多尺度一维小波分解和重构wavedec及waverec、消噪默认阈值ddencmp和消噪函数wdencmp;小波包变换的ddencmp 和wdencmp函数.试验表明,此方法具有较高的有效性和实用性. 相似文献
18.
Various image processing applications exploit a model of the human visual system (HVS). One element of HVS-models describes the masking-effect, which is typically parameterized by psycho-visual experiments that employ superimposed sinusoidal stimuli. Those stimuli are oversimplified with respect to real images and can capture only very elementary masking-effects. To overcome these limitations a new psycho-visual test method is proposed. It is based on natural scenery stimuli and operates in the wavelet domain. The collected psycho-visual data is finally used to evaluate the performance of various masking models under conditions as found in real image processing applications like compression. 相似文献
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20.
探讨了地震数据经小波包变换压缩后对后续处理过程的影响,以及经过某些处理后的数据会对小波包变换压缩产生什么影响等问题。将小波包变换压缩地震数据的结果与快速傅里叶变换压缩地震数据的结果进行了对比,其结果表明:应用小波包变换压缩地震数据,有效信号的损失非常小,压缩比大于快速傅里叶变换的压缩比。在大批量地震数据处理中可以使用小波包变换压缩地震数据。 相似文献