ACTIVE NOISE CONTROL USING PAIR OF SPEAKERS
Kumar Pankaj Bharti, Vikas Kumar
Abstract
Kumar Pankaj Bharti, Vikas Kumar
Abstract
– Low frequency noise produced in the centralized ducts is annoying causing physical and mental health issues. Passive noise control techniques have failed in low frequency noise mitigation. Active noise control (ANC), which works on the principle of destructive superposition of sound has recently evolved as an effective approach for noise control especially in the low frequency domain. LMS Adaptive Algorithm from MATLAB Simulink is utilized as the ANC techniques to model active noise control in the duct. These results show that the active noise control has considerable improvement, when duel speakers are used for noise cancellation instead of only single speaker, normally used in practical purposes. Hence, the proposed approach acts as an effective visualization tool for noise cancellation, within an arbitrary space, through minor physical changes for the implementation of ANC.
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– Low frequency noise produced in the centralized ducts is annoying causing physical and mental health issues. Passive noise control techniques have failed in low frequency noise mitigation. Active noise control (ANC), which works on the principle of destructive superposition of sound has recently evolved as an effective approach for noise control especially in the low frequency domain. LMS Adaptive Algorithm from MATLAB Simulink is utilized as the ANC techniques to model active noise control in the duct. These results show that the active noise control has considerable improvement, when duel speakers are used for noise cancellation instead of only single speaker, normally used in practical purposes. Hence, the proposed approach acts as an effective visualization tool for noise cancellation, within an arbitrary space, through minor physical changes for the implementation of ANC.
Key concepts: Active noise control, Noise (video), Computer science, Noise control, MATLAB, Superposition principle, Frequency domain, Speech recognition