Then, the propagation of stochastic errors is analyzed.
In this paper, a simulation method is proposed for estimating the stochastic errors of FOG.
The two models produce similar stochastic errors, but Nanbu's model gives smaller time step errors.
Due to the fact that parity bits aim at correcting stochastic errors, the proposed approach is able to handle a loss of synchronization between the encoder and decoder.
The errors influencing the probe position stance are analysed: they are original error of the machine, the process error for measuring, and other stochastic errors.
The approach is based on Monte Carlo techniques, where sampling-resampling methods are used to convert sensor readings with stochastic errors to a Bayesian risk.
Sources of both deterministic and stochastic errors have been investigated and a method to evaluate them has been proposed, with the help of a normalisation technique.
The ideas include building supercomputers to work faster by allowing some stochastic errors at the transistor level, and modeling different processes on different scales to ease the computational burden.
One advantage of coding with side information compared to conventional closed-loop hybrid video coding schemes lies in the fact that parity bits are designed to correct stochastic errors and not to encode deterministic prediction errors.
The source of stochastic errors observed in Fig. 5 might be random errors originating from the combination of multiple components of the tracking system (i.e., stepping motor, handler rope, pulley, and tray).
Although these FOCTs have such crucial advantages, the stochastic errors, mainly including random walk, bias instability, quantization noise, may suddenly degrade the system performance in a short period of time.
