Material selection methods applied to Micro-Electro-Mechanical-Systems (MEMS) design during last~20 years are reviewed. • Ashby's material selection method stands out as the most frequently used method for material selection of MEMS devices. • Performance/material indices for 20 types of MEMS devices are analyzed and a database of 51 MEMS materials is reported. • A case study shows that Ashby's method gives most accurate results when applied using micro-scale material properties.
In this paper, a new variable step size method for online acoustic feedback path modeling (and neutralization) in single channel active noise control (ANC) system is proposed. The proposed method uses three filters. 1) A least mean square based disturbance estimation filter 2) A variable step size LMS based feedback path modeling filter and 3) An FxLMS based noise control filter. In the proposed method, the convergence behavior of the feedback path modeling filter is improved by using a variable step size LMS (VSS-LMS) algorithm. In addition to this, the disturbance estimation (prediction) filter further speeds up the convergence of the feedback path modeling filter. Computer simulations show that for narrow band input signal, the feedback path modeling filter, the noise control filter and the residual error converge faster than the existing methods.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.