Bispectrum

In mathematics, in the area of statistical analysis, the bispectrum is a statistic used to search for nonlinear interactions.
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
We consider the problem of estimating a signal from noisy circularly translated versions of itself, called multireference… (More)
  • table I
  • figure I
  • figure II
Is this relevant?
2011
2011
The CMB bispectrum generated by second-order effects at recombination can be calculated analytically when one of the three modes… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
2009
2009
The algebraic theory of finite groups appears in signal processing problems involving the statistical analysis of ranked data and… (More)
  • table 1
Is this relevant?
2008
2008
Abstract: The purpose of this paper is to join two different threads of the recent literature on random fields on the sphere… (More)
Is this relevant?
1992
1992
The cross bispectrum phase can be effectively used to estimate the time required for a non-Gaussian signal to propagate between a… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
1992
1992
In this paper, we first present a simple procedure to recover the Fourier phase of a signal from the phase of its bispectrum… (More)
Is this relevant?
1990
1990
A new array processing method is presented for bearing estimation based on the cross-bispectrum of the array output data. The… (More)
Is this relevant?
Review
1987
Review
1987
It is the purpose of this tutorial paper to place bispectrum estimation in a digital signal processing framework in order to aid… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
Highly Cited
1985
Highly Cited
1985
Abstruct-Higher order spectra contain information about random processes that is not contained in the ordinary power spectrum… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
1984
1984
The information which is of importance in the reflection seismic method resides in the reflectivity series. In order to extract… (More)
  • figure 1
  • figure 3
  • figure 5
  • figure 4
  • figure 6
Is this relevant?