A signal which is not causal is called the non-causal signal. Hence, by the definition, a signal that exists for positive as well as negative time is neither causal nor anti-causal, it is non-causal signal. The sine and cosine signals are examples of non-causal signal (see Figure-3)....
ARMA bispectrum approach to nonminimum phase system identification The method is based on parametric modeling of the third moments of the output sequence and uses causal and anticausal autoregressive moving-average (ARMA) ... CL Nikias - 《IEEE Transactions on Acoustics Speech & Signal Processing》...
Learning is carried out using a flexible, neural modelFθwith a set of trainable parametersθ. The model is trained in a specific fashion that leverages the input informationΠas a supervision/training signal to allow the model to learn representations suitable for generalization to novel causal re...
Hypothesis 1.Image datasets carry an observable statistical signal revealing the asymmetric relationship between object categories that results from their causal dispositions. Hypothesis 2: There exists an observable statistical dependence between object features and anticausal features. The statistical dependence...
Figure 5. Classification of shifts in causal and anticausal prediction settings (solid arrows are causal mechanisms, dashed arrows are prediction directions). Upon intervention on speech signal or text, a change can propagate via the mechanism from cause to effect. Depending on the direction of pred...