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Application of reinforcement learning for active noise control
Year: 2017
Abstract:
Active noise control (ANC) systems are used to reduce the sound noise level by generating antinoise signals.
M-Estimators are widely employed in ANC systems for updating the adaptive FIR lter taps used as the system controller...
Active Noise Control Based on Reinforcement Learn-ing
Year: 2013
Abstract:
Active Noise Control (ANC) systems are used in order to reduce the sound noise level by generat-ing anti-noise signals. M-Estimators are widely used in ANC systems in purpose of updating the adaptive FIR filter taps used as systems controller. Up...
Statistical inference based on robust low rank data matrix approximation
Publisher: Institute of Mathematical Statistics
Year: 2014
ASAP 2014 conference committee
Publisher: IEEE
Year: 2014
Dead Pixel Completion of Aqua MODIS Band 6 Using a Robust M-Estimator Multiregression
Publisher: IEEE
Year: 2014
A Robust Subspace Projection Autoassociative Memory Based on the M-Estimation Method
Publisher: IEEE
Year: 2014
Four New Construction Methods on Residuated Monoids
Publisher: IEEE
Year: 2014
A Comparative Study of Sea Clutter Covariance Matrix Estimators
Publisher: IEEE
Year: 2014
Evaluating industrial cluster by using spatial auto correlation of patent applications
Publisher: IEEE
Year: 2014