optimal design of active shunt filter using particle swarm optimization
... may not converge and moreover they give approximated results in most cases. Genetic algorithms have been widely used but the computation and convergence burdens are disadvantages of this approach [5] & [6]. A design method using hybrid algorithm is more complex, involving mutation, cross over, migra ...
... may not converge and moreover they give approximated results in most cases. Genetic algorithms have been widely used but the computation and convergence burdens are disadvantages of this approach [5] & [6]. A design method using hybrid algorithm is more complex, involving mutation, cross over, migra ...
Standards for Reporting EMG Data
... filter with a time constant of x ms". Time constants higher than 25-30 ms introduce detectable delays and should be used only when interest is on the mean amplitude (moving weighted average) and not on any timing relationship with other events. Digital non causal FIR linear phase filters are recomme ...
... filter with a time constant of x ms". Time constants higher than 25-30 ms introduce detectable delays and should be used only when interest is on the mean amplitude (moving weighted average) and not on any timing relationship with other events. Digital non causal FIR linear phase filters are recomme ...
3.0 theory of operation
... transients’ energy. The fuses also provide short circuit protection for each individual phase should a fault occur, while allowing remaining phases to stay online and protected. The Surge Counter option allows the number of potentially damaging transients and surges to be totaled on an ongoing basi ...
... transients’ energy. The fuses also provide short circuit protection for each individual phase should a fault occur, while allowing remaining phases to stay online and protected. The Surge Counter option allows the number of potentially damaging transients and surges to be totaled on an ongoing basi ...
Kolmogorov–Zurbenko filter
The Kolmogorov–Zurbenko (KZ) Filter was first proposed by A. N. Kolmogorov and formally defined by Zurbenko[1]. It is a series of iterations of a moving average filter of length m, where m is a positive, odd integer number. The KZ filter belongs to the class of Low-pass filters. The KZ filter has two parameters, the length m of the moving average window and the number of iterations k of the moving average itself. It also can be considered as a special window function designed to eliminate spectral leakage.