An Improved Support Vector Machine Method for Harmonic and Inter-harmonic Detecting
Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International（2007）
摘要
Based on the linear regressive model of support vector machines, iterative re-weighted least squares of the support vector machines for signal spectral analysis is introduced by virtue of abstract expressions of cost functions, and the uniform mathematical analytical expression of support vector machine for solving the problem of signal spectral analysis is obtained. And a new method is presented by changing resolution, namely defining the range of spectrum by taking advantage of wide range with rough resolution at first, and then using narrow range with high resolution. The simulation has showed that this method solves the problem of large calculation and slow calculating speed
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关键词
discrete fourier transform,harmonics,iterative re-weighted least squares,cost functions,spectral analysis,linear regressive model,harmonic detection,least mean squares methods,support vector machine,support vector machines,iterative methods,signal spectral analysis,high resolution,algorithm design and analysis,linear regression model,spectrum,frequency domain analysis,harmonic analysis,cost function
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