Normalized power spectrum analysis based on Linear Prediction Code (LPC) using time integral procedures

R ecently malf unctions of teleco mmunication installations caused by switching noises of el ectric equipment or devices have been increasing. T he switching noises usually have low frequency components less than 50Hz and also more than 9kHz or 150 kHz. It is useful to detect power spectrum of noises in order to solve EMC proble ms. The LPC (Linear Prediction Cod e) me thod is kn own as a powerfu l fr equency estimation method. This paper propos es a new nor malized power spectrum analysis technique based on LPC. Introducing time integration on a time series of the noise waves to the LPC shows that noise power sp ectrum (frequencies and levels) can be estimated more precisely than using the conventional LPC method. Estimated deviations of frequency and NPS (normalized power spectrum) between given frequencies and extracted frequencies of quasi signals are less than 4%, and the proposed technique can also extract low frequencies with short durations from time series of noises. Key-Words: LPC (Linear prediction code), fre quency analysis, time integral, sim ulations and experiments Recent Advances in Intelligent Control, Modelling and Simulation ISBN: 978-960-474-365-0 242