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The formulation is a follow up to four recent research papers in which the method was successfully applied to errors-in-variables models.
Some realistic regularity assumptions are presented and applied to error estimation by using an operator interpolation.
When statistic and artificial-intelligence-based iterative algorithms are applied to error-correcting decoding, the decoding performance is improved about 2 ~ 3 dB in soft-decision situations [19].
Second, we present recursive MMSE estimation applied to speech enhancement (in the frequency domain, as typical) and applied to error concealment (in the time domain, as typical) in strictly coherent notations and provide respective overview diagrams.
Distributed video coding has been applied to error resilient MPEG-2 video broadcasting in [52], where a systematic lossy source channel coding framework is proposed, referred to as Systematic Lossy Error Protection (SLEP).
Now, the concept has evolved to apply to errors at the individual level.
In this context, the precision dependent weighting of prediction errors in our scheme corresponds to something called the Kalman gain that is applied to prediction errors to provide optimal predictions about the future.
Therefore, the error concealment schemes proposed for traditional video coding schemes cannot be directly applied to conceal errors in WZ frames.
Any corrections were automatically applied to other errors, ensuring reliability across subjects.
Boundary conditions for all estimated kinetic parameters were applied to prevent errors due to local cost function minima.
This method was applied to diminish errors among correspondence points [38] [41].
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