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More complex noise models accounting for a wider range of phenomena can be devised[19], with the drawback that model-based analytical solutions may become intractable[6].
However, for more complex noise models such as mixture of impulsive and Gaussian, uniform noise, or Poisson noise that better explains the real camera noise, the proposed method yields higher PSNR and better subjective quality than the above referenced methods.
When dealing with censored data, we need to define a more complex noise model.
In addition, the feature extraction method described herein is relatively simple and does not require more complex noise reduction and signal classification methods such as those in independent component analysis and principle component analysis.
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Prediction of noise generated by centrifugal fans is much more complex than prediction noise generated by axial fans.
In future, we plan to consider more complex models of noise and to analyze color images.
Primary auditory cortex (PAC) responds to pure tones, whereas surrounding auditory regions in lateral Heschl's gyrus and planum temporale respond to more complex band-passed noises (Binder et al. 2000; Wessinger et al. 2001).
Although redundant QTL information is useful for verification, it makes comparison of QTLs among different studies more complex, and it produces noise in the determination of the accurate physical position of QTLs.
This might indicate that the more complex models over-fit noise variance not induced by the experimental manipulation.
Visual representations become more complex with increasing size, noise and number of relationships to be taken into account.
It becomes more complex when dealing with noise in the work environment due to its intensity, exposure time, and other risk factors [ 1].
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