Anticausal system

Known as: Acausal system, Anticausal 
An anticausal system is a hypothetical system with outputs and internal states that depend solely on future input values. Some textbooks and… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
It is generally difficult to make any statements about the expected prediction error in an univariate setting without further… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2015
2015
According to a recently stated ‘independence postulate’, the distribution Pcause contains no information about the conditional… (More)
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
2014
2014
Given a linear time-invariant plant, the search for a suitable multiplier over the class of Zames–Falb multipliers is a… (More)
  • figure 1
  • table 1
  • table 2
  • table 3
Is this relevant?
2013
2013
Electrically Power Assisted Cycles (EPACs) have been gaining attention as an efficient and clean means of transportation. In this… (More)
  • figure 2
  • figure 1
  • figure 3
  • figure 6
  • figure 5
Is this relevant?
Highly Cited
2012
Highly Cited
2012
We consider the problem of function estimation in the case where an underlying causal model can be inferred. This has… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2012
2012
Given a linear time-invariant plant, the search of a suitable multiplier over the class of Zames-Falb multiplier is a challenging… (More)
  • figure 1
  • figure 2
  • table I
  • table II
  • table III
Is this relevant?
2002
2002
We study the departures from the classical synchrotron radiation due to noncommutativity of coordinates. We find that these… (More)
Is this relevant?
Highly Cited
2000
Highly Cited
2000
Field theories based on non-commutative spacetimes exhibit very distinctive non-local effects which mix the ultraviolet with the… (More)
Is this relevant?
1995
1995
In a maximally decimated filter bank with identical decimation ratios for all channels, the perfect reconstructibility property… (More)
  • figure 2
  • figure 3
  • figure 4
  • figure 5
  • figure 7
Is this relevant?
Highly Cited
1995
Highly Cited
1995
Whereas acausal Bayesian networks rep­ resent probabilistic independence, causal Bayesian networks represent causal relation… (More)
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?