1994Transactions of the Society of Instrument and Control EngineersOpen access

Smoothing of Sinusoidal Noise by Nonlinear Adaptive Filter

Toshitaka Umemoto, Nobuharu AOSHIMA

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Abstract

Adaptive nonlinear digital filter is proposed to eliminate sinusoidal noise from picture.Hitherto, Wiener filter optimized by original picture has been used for such purpose.The original picture, which may not be available, is not necessary for our new method.In our approach, we combine an ε-filter with an LMS adaptive algorithm.Simulations show the effectiveness of our approach.

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Adaptive nonlinear digital filter is proposed to eliminate sinusoidal noise from picture.Hitherto, Wiener filter optimized by original picture has been used for such purpose.The original picture, which may not be available, is not necessary for our new method.In our approach, we combine an ε-filter with an LMS adaptive algorithm.Simulations show the effectiveness of our approach.

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Available abstract

Adaptive nonlinear digital filter is proposed to eliminate sinusoidal noise from picture.Hitherto, Wiener filter optimized by original picture has been used for such purpose.The original picture, which may not be available, is not necessary for our new method.In our approach, we combine an ε-filter with an LMS adaptive algorithm.Simulations show the effectiveness of our approach.

Key concepts: Kernel adaptive filter, Adaptive filter, Nonlinear filter, Smoothing, Filter (signal processing), Noise (video), Computer science, Control theory (sociology)

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