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There is also new error correction method very near Shannon limit: which finally has linear expected correction time (not exponential as usual), works for any noise levels (not only low as usual), which ratio is continuous parameter (not simple fractions as usual) and allows additionally to simultaneously compress and encrypt the data well.
The suggested error correction method employs the Chinese remainder theorem (CRT) and artificial neural networks (ANN) that appreciably simplify the process of error detection, localization and correction.
Simulation results show that this automatic error correction method can effectively mask errors without human intervention inside the design code.
First, the flood error correction method and multi-model composition techniques are used separately.
A backward semi-Lagrangian method based on the error correction method is designed to solve incompressible Navier Stokes equations.
On the basis of the error correction method developed recently, an algorithm, so-called error embedded error correction method, is proposed for initial value problems.
This is the reason why we call the proposed algorithm an error embedded error correction method.
This method is also the so-called FEC (forward error correction) method.
The Standard Hermite polynomial error correction method was employed in [4] to improve the accuracy of SGA.
Herein, we propose a novel error correction method that can incorporate multiple constraints.
It is an agent to find a dense error correction method in random network coding.
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