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.

In this paper, we use diagonal slice of bispectra as feature vectors to identify the number of aircraft targets of conventional low-resolution radar,and extract feature via the K-L transform, then accomplish classification using Radial Basis Function neural network.

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.