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Active control of time-varying broadband noise and vibrations with parallel fast array recursive least squares filters using online system identification of the secondary transfer path

Meijer, H.J. (2017) Active control of time-varying broadband noise and vibrations with parallel fast array recursive least squares filters using online system identification of the secondary transfer path.

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Abstract:Least mean square (LMS) based algorithms are very popular in the context of feed-forward broadband active noise control (ANC). Their implementation is straightforward and their computational burden is light. However they are poor at tracking moving noise sources, such as cars and planes. The availability of affordable, high performance digital signal processors makes it possible to implement more advanced signal processing algorithms with better tracking performance. One such an algorithm is the modified filtered reference mixed windowed recursive least squares (mod fx mixed windowed RLS) algorithm, which uses convex mixing of two parallel fast array RLS filters to establish a numerically stable ANC algorithm. This report presents the results of this algorithm combined with online identification of the transfer path between the noise canceling speaker and the error microphone.
Item Type:Essay (Master)
Faculty:ET: Engineering Technology
Subject:52 mechanical engineering
Programme:Mechanical Engineering MSc (60439)
Link to this item:http://purl.utwente.nl/essays/73461
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