Acoustic Noise Cancellation Using Adaptive Filters: A Survey

2014 ◽  
Author(s):  
Mugdha M. Dewasthale ◽  
R.D. Kharadkar
Keyword(s):  
Adaptive Filters ◽  
Acoustic Noise ◽  
Noise Cancellation

A Finite-Impulse-Response-Based Approach to Control Acoustic-Caused Probe-Vibration in Atomic Force Microscope Imaging

2017 ◽  
Author(s):  
Sicheng Yi ◽  
Qingze Zou
Keyword(s):  
Atomic Force Microscope ◽  
Impulse Response ◽  
Controller Design ◽  
Finite Impulse Response ◽  
Feedforward Control ◽  
Acoustic Noise ◽  
Noise Cancellation ◽  
Control Approach ◽  
Atomic Force ◽  
Afm Imaging

In this paper, we propose a finite-impulse-response (FIR)-based feedforward control approach to mitigate the acoustic-caused probe vibration during atomic force microscope (AFM) imaging. Compensation for the extraneous probe vibration is needed to avoid the adverse effects of environmental disturbances such as acoustic noise on AFM imaging, nanomechanical characterization, and nanomanipulation. Particularly, residual noise still exists even though conventional passive noise cancellation apparatus has been employed. The proposed technique exploits a data-driven approach to capture both the noise propagation dynamics and the noise cancellation dynamics in the controller design, and is illustrated through the experimental implementation in AFM imaging application.

Impulsive Noise Cancellation from ECG Signal using Adaptive Filters and their Comparison

2016 ◽  
Vol 3 (2) ◽  
pp. 369 ◽  
Author(s):  
Mihir Narayan Mohanty ◽  
Sarthak Panda
Keyword(s):  
Adaptive Filters ◽  
Impulsive Noise ◽  
Electronic Devices ◽  
Adaptive Algorithms ◽  
Noise Cancellation ◽  
Ecg Signal ◽  
Burst Noise ◽  
Weight Variation ◽  
Novel Approach ◽  
Traditional Approaches

<em>Impulsive Noise is the sudden burst noise of short duration. Mostly it causes by electronic devices and electrosurgical noise in biomedical signals at the time of acquisition. In this work, Electrocardiograph (ECG) signal is considered and tried to remove impulsive noise from it. Impulsive noise in ECG signal is random type of noise. The objective of this work is to remove the noise using different adaptive algorithms and comparison is made among those algorithms. Initially the impulsive noise in sinusoidal signal is synthesized and tested for different algorithms like LMS, NLMS, RLS and SSRLS. Further those algorithms are modified in a new way to weight variation. The proposed novel approach is applied in the corrupted ECG signal to remove the noise. The effectiveness of the proposed approach is verified for ECG signal with impulsive noise as compared to the traditional approaches as well as previously proposed approaches. Also the performance of our approach is validated by SNR computation. Significant improvement in SNR is achieved after removal of noise.</em>

Acoustic noise cancellation

2005 ◽  
Author(s):  
G. Muller ◽  
C. Pauw
Keyword(s):  
Acoustic Noise ◽  
Noise Cancellation
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