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RISApplication 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...
Reply to “Comments on ‘A New Feedforward Hybrid Active Noise Control System’”
Publisher: IEEE
Year: 2014
Active noise cancellation of variable frequency narrow band noise using mixture of RLS and LMS algorithms
Year: 2009
Abstract:
Due to the good tracking behaviour of the LMS adaptive filter in a noisy environment,
the FX-LMS algorithm is proposed in the literature as a method of active noise control,
ANC. But each of the LMS and RLS algorithms have their own...
Optimal location of supports in beam structures using genetic algorithms
Publisher: IEEE
Year: 2014
Active Noise Control in Three Dimensions
Publisher: IEEE
Year: 2014
Comments on “A New Feedforward Hybrid ANC System”
Publisher: IEEE
Year: 2014
Comments on “Complete Parallel Narrowband Active Noise Control Systems”
Publisher: IEEE
Year: 2014
GPU Implementation of Multichannel Adaptive Algorithms for Local Active Noise Control
Publisher: IEEE
Year: 2014