… The bispectral index (BIS) monitor collects raw EEG data through its sensors and uses an
algorithm to analyze and interpret the data. The data displays as a number on the BIS view …

… demonstrates that bispectral analysis can … bispectrum analysis method used for this paper
was immune to Gaussian noise. This section aims to verify the immunity of bispectrum analysis …

… In the bispectral analysis, we adopt a fragment of 1024 data points, which is divided into …
1(a) and 1(b), and the bispectrum of fault II under condition I is shown in Fig. 2. Here, the …

… analysis technologies in the field of mechanical equipment fault … the spectrum analysis
technology in mechanical equipment … spectral analysis, the method based on bispectrum analysis …

… of roller element bearings using bispectral features. Higher-order … the application of bispectrum
analysis for data fusion and to … was employed to diagnose faults in mechanical equipment …

… The quay crane is a special mechanical equipment … bispectrum analysis, a nonlinear dynamic
analysis method, is introduced in this thesis. By drawing on the use of bispectrum analysis …

… the bispectral analysis for nonlinear vibro-acoustic technique. The modulation signal estimation
by spectrum analysis … This section illustrates the bispectrum analysis to investigate how it …

… e autoencoder feature and four kinds of integral bispectrum feature are analyzed and
visualized. Research on communication equipment individual recognition technology is based on …

… , which combines bispectrum analysis with an improved ensemble empirical mode
decomposition (EEMD). To effectively eliminate Gaussian noise in the signal, bispectrum analysis is …

… The performance of the model combining four ultrasound bispectrum analysis energy feature
… image and the model using a single bispectrum analysis energy feature map in this study. …