Rotating machinery fault diagnosis based on slice spectrum-AIS;

Since EEG signals are vulnerable to pollution by other noise and have a strongly random characteristic,in this paper,the clinical EEG data are analyzed by using third order cumulant slice spectrum technique in order to extract the useful information of the signals.

Firstly,the position of LFM signal spectrum is estimated using bispectrum slice,then the signal is filtered out by means of a band-pass filter,finally subsection dechirp is made for parameter estimation.

So in order to obtain more information of sEMG and better recognition accuracy of pattern recognition of sEMG,we use bispectrum analysis combine with principal component analysis and bispectrum slice to make classification research on EMG.

Aiming at complex time-varying non-cooperative satellite communication environments with a lower Signal-to-noise Ratio(SNR),a double-channel blind detection algorithm of satellite communication signals based on an energy spectrum and a bispectrum slice is presented.

The ameliorated method of diagonal slice spectrum analysis is presented and used to characterize the skewness and phase coupling of the rough surface profiles.

In this paper, an improved method, diagonal slice spectrum analysis, is presented and used to characterize the asymmetry and coupling of the rough surface.