Noninvasive Model Independent Noise Control with Adaptive Feedback Cancellation

Adaptive recursive deconvolution and adaptive noise cancellation

In this paper we apply a recursive deconvolution method to Active Noise Cancellation (ANC) in a linear system: the observation of the output of a linear system of relative degree one, red at discrete time instants, is fed to a deconvolution algorithm which identify the disturbance (with the delay of one step). This information is used in order to reduce the effect of the disturbance itself. Dec...

Adaptive feedback noise control with leaky FeLMS algorithm

In this paper, an adaptive feedback control algorithm for ANC (Active Noise Control) with leaky FeLMS (Filtered-error Least Mean Square) algorithm is proposed. A shaping function is used in the updating equation, which selects the frequency band of the noise attenuation for the ANC system. Compared with the adaptive feedback ANC structure based on traditional FxLMS (Filtered-x Least Mean Square...

Adaptive Noise Cancellation Using Deep Cerebellar Model Articulation Controller

This paper proposes a deep cerebellar model articulation controller (DCMAC) for adaptive noise cancellation (ANC). We expand upon the conventional CMAC by stacking single-layer CMAC models into multiple layers to form a DCMAC model and derive a modified backpropagation training algorithm to learn the DCMAC parameters. Compared with conventional CMAC, the DCMAC can characterize nonlinear transfo...

Adaptive-Filtering-Based Algorithm for Impulsive Noise Cancellation from ECG Signal

Suppression of noise and artifacts is a necessary step in biomedical data processing. Adaptive filtering is known as useful method to overcome this problem. Among various contaminants, there are some situations such as electrical activities of muscles contribute to impulsive noise. This paper deals with modeling real-life muscle noise with α-stable probability distribution and adaptive filterin...

Selective Noise Cancellation Using Independent Component Analysis