TY - JOUR
T1 - An investigation on the plant modeling filter's parameters for active noise control system
AU - Wang, Jinjun
AU - Chen, Kean
AU - Chen, Guoyue
AU - Muto, Kenji
PY - 2006/6
Y1 - 2006/6
N2 - Usually an FIR filter is used to model the physical paths in an active noise control system. However, the order of the filter to be modeled is a key factor for determining the computational load for the adaptive algorithms associated with active noise control (ANC), particularly for multi-channel algorithms. In this letter, the relationships among the filter's order, the plant modeling error and the location of poles for the transfer functions of the physical paths in an ANC system are theoretically examined and numerical examples are given to verify the theoretical results.
AB - Usually an FIR filter is used to model the physical paths in an active noise control system. However, the order of the filter to be modeled is a key factor for determining the computational load for the adaptive algorithms associated with active noise control (ANC), particularly for multi-channel algorithms. In this letter, the relationships among the filter's order, the plant modeling error and the location of poles for the transfer functions of the physical paths in an ANC system are theoretically examined and numerical examples are given to verify the theoretical results.
KW - Active noise control
KW - FIR filter
KW - IIR filter
KW - Path modeling
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U2 - 10.1093/ietfec/e89-a.6.1847
DO - 10.1093/ietfec/e89-a.6.1847
M3 - Article
AN - SCOPUS:33745630085
SN - 0916-8508
VL - E89-A
SP - 1847
EP - 1851
JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
IS - 6
ER -