噪声和振动谱中线谱的提取和连续谱平滑

本文介绍一种在数字化功率谱上识别谱峰和平滑连续谱的算法。它适用于在噪声或振动谱上提取线谱特征和压缩数据量,是利用谱特征进行模式识别的有效预处理手段。这个算法的核心是在充分考虑谱的形状特点的基础上发展起来的谱峰识别逻辑。在一些实际应用中,这种方法已经取得了良好的效果。文章中给出了有关的应用实例。

EXTRACTION OF LINE SPECTRA AND SMOOTHING OF CONTINUOUS SPECTRA IN NOISE AND VIBRATION SPECTRA

An algorithm for recognizing peaks and data reduction in digitized power spectrum is detailed in this paper. It can be applied to extract line spectra features and reduce the amount of data in noise and vibration spectra. It is an efficient preprocessing means of the pattern recognitions which are dependent upon spectrum features. The kernel of this algorithm is the peak-recognition logic which is developed by fully considering the shape characteristics of spectra. In some practical applications, some good results have been obtained by this approach. The relevant application examples are given here.