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In noise control, identification of the source velocity field remains a major problem open to investigation.
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This problem arises in the design of recursive estimation algorithms used for identification purposes and in active noise control (ANC) applications.
Professor Sicuranza's other research contributions span a wide variety of areas including multidimensional digital filters, processing of images and image sequences, image coding, nonlinear filters, polynomial filters and adaptive algorithms for system identification, echo cancellation, and active noise control.
The design of active noise control has been developed in the last two decades based on linear identification and control tools.
The design of active noise control (ANC) has been developed in the last two decades based on linear identification and control tools.
Furthermore, in the method, the modeling of the secondary path is relatively independent of the active noise control system, and the reference signal is used as the input for the system identification.
Another application is in industrial noise control.
(11) Noise Control Act, 42 U.S.C. 4903 California Noise Control Act of 1973, Cal.
In this paper, a systematic control-oriented robust identification procedure which produces a parametric/nonparametric set of models is applied to a duct, in order to design a feedback active noise control (ANC) based on robust analysis and control.
The goal of noise control is an "acceptable" noise environment at an affordable cost.
Mr. Brooks is a noise control engineer in Vernon.
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