Multiresolution analysis and denoising of computer performance evaluation data with the wavelet transform

S. Papadimitriou; A. Bezerianos

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Multiresolution analysis and denoising of computer performance evaluation data with the wavelet transform

机译：小波变换的计算机性能评估数据多分辨率分析与去噪

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The Wavelet Transform Analysis (WTA) offers the possibility to decompose a time series into both time and scale components. The paper applies Wavelet Transform to analyze computer performance measurement data. This type of data forms a time series that is treated and analyzed as any other signal. A noise reduction technique that detects noise components by analyzing the evolution of the Wavelet Transform modulus maxima across scales is adapted in order to improve the quality of computer performance data. This method allows to effectively remove the induced noise from measurement inaccuracies and transient random events.

机译：小波变换分析（WTA）提供了将时间序列分解为时间和标度分量的可能性。本文应用小波变换分析计算机性能测量数据。此类数据形成一个时间序列，该时间序列被视为和分析其他任何信号。为了改善计算机性能数据的质量，采用了一种通过减少小波变换模量最大值在各个尺度上的变化来检测噪声分量的降噪技术。这种方法可以有效地从测量误差和瞬态随机事件中消除感应噪声。

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《Journal of systems architecture》 |1996年第1期|共11页
作者
S. Papadimitriou; A. Bezerianos;
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正文语种 eng
中图分类计算技术、计算机技术;
关键词
Measurements; Performance evaluation; Event detection; Random noise; Wavelet transform; Multiresolution analysis; Singularity detection; Lipschitz regularity; Denoising;

机译：测量;性能评估;事件检测;随机噪声;小波变换;多分辨率分析;奇异性检测;Lipschitz正则性;去噪;

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1. Multiresolution analysis and denoising of computer performance evaluation data with the wavelet transform [J] . S. Papadimitriou, A. Bezerianos Journal of systems architecture . 1996,第1期

机译：小波变换的计算机性能评估数据多分辨率分析与去噪
2. Rational multiresolution analysis and fast wavelet transform: application to wavelet shrinkage denoising [J] . A. Baussard, F. Nicolier, F. Truchetet Signal processing . 2004,第10期

机译：合理的多分辨率分析和快速小波变换：在小波收缩去噪中的应用
3. Performance Analysis of Denoising in MR Images with Double Density Dual Tree Complex Wavelets, Curvelets and Non-subsampled Contourlet Transforms [J] . V. Krishnakumar, Latha Parthiban Annual Research & Review in Biology . 2014,第19期

机译：双密度双树复小波，Curvelets和非下采样Contourlet变换的MR图像去噪性能分析
4. Comparisons of Discrete Wavelet Transform, Wavelet Packet Transform and Stationary Wavelet Transform in Denoising PD Measurement Data [C] . Zhou X., Zhou C., Stewart B.G. Electrical Insulation, 2006. Conference Record of the 2006 IEEE International Symposium on . 2006

机译：去噪PD测量数据中离散小波变换，小波包变换和平稳小波变换的比较
5. Evaluation of the performance of the MODIS LAI and FPAR algorithm with multiresolution satellite data. [D] . Tian, Yuhong. 2002

机译：使用多分辨率卫星数据评估MODIS LAI和FPAR算法的性能。
6. Multiresolution Analysis Using Wavelet Ridgelet and Curvelet Transforms for Medical Image Segmentation [O] . Shadi AlZubi, Naveed Islam, Maysam Abbod 2011

机译：使用小波脊波和Curvelet变换的多分辨率分析用于医学图像分割
7. Wavelets Applied to CMB Maps: a Multiresolution Analysis for Denoising [O] . Sanz, J. L., Argueso, F., Cayon, L., 1999

机译：小波应用于CmB地图：一种用于去噪的多分辨率分析

Multiresolution analysis and denoising of computer performance evaluation data with the wavelet transform

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