Numerical analysis and passive control of a car side window buffeting noise based on Scale-Adaptive Simulation

Adaptive variable step-size neural controller for nonlinear feedback active noise control systems

“…A similar VSS-LMS algorithm can be derived for the weights (1) ( ) w n for the hidden layer of NN control (4)- (8). However, to simplify the practical implementation and seek a trade-off between the performance and the computational costs, the LMS algorithm (17) with a constant gain 1 ( ) n const   is used.…”

“…In the following, a variable step-size LMS algorithm will be presented for the NN control (4)- (8). The essential difference to the control shown in Section 2.2 is that the adaptive algorithm of NN output layer weights, i.e.…”

“…For fair comparison, we choose the dimension of the NN weights (1) ( ) w n in the neural control (8) are the same as that in the FIR filter as N . Then, the computational complexity of neural control (8) with the LMS algorithm (17) and (22) is calculated as:…”

“…For this purpose, various ANC methods have been used in practical applications [5][6][7][8][9], e.g. vehicle transportation, aircraft engineers, heating, air conditioning duct systems, etc.…”

Active noise control using wavelet function and network approach

“…In comparison to other ANC approaches, it is easy to implement and has less complexity. The ease of implementation has led to its use in various applications with neural networks [21][22][23][24] such as transportation noise control, appliances noise and industrial noises.…”