Abstract
Active noise control (ANC) is one of the most popular applications for adaptive filters. In the emerging application area of adaptive signal processing is active noise control. The basic idea behind the active control of acoustic noise is to inject a secondary sound (anti-noise) into an environment so as to cancel the primary sound using destructive interference. So, ANC is a method of reducing the unwanted noise by actively generating an anti-sound, cancelling out the noise. To achieve this, in this paper, we describe a well-known filtered-X Least Mean Square (filtered-x LMS) and feedback active noise control algorithms which provide a new structure for improving noise reduction. Finally, simulation results have shown the effectiveness of the proposed algorithm.
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