The active noise control system that has been studied requires the replica of the cancellation path to obtain the updating weight value since the signals for the operation can not be observed. In this paper we propose a structure and an adaptive algorithm for the active noise control system using an adaptive exponential filter that does not require any replica. The adaptive algorithm is based on the steepest descent method that can be easily realized and the updating weight value of the adaptive exponential filter is the correlation of the observable output signal of the adaptive system and the estimation error. The other adaptive filters are composed of the linear transversal system. It is proven that the transfer function after converging completely corresponds to the transfer function of the noise and the cancellation path under a certain condition. Finally, the convergence performance of the estimation accuracy and the tracking performances to the rapid change of the noise and the cancellation path are verified by the computer simulation.
LiOH at more than 20mM strongly inhibited the growth of Lactobacillus casei IFO-3831. The effect was remarkable at the initial log phase but weak at the end. In plate culture, 50mm LiCk strongly inhibited growth, whereas 50mm KCl, NaCl, RbCl, CsCl, NH4Cl or CaCl2 affected cell growth slightly. LiOH up to 16mM proportionately promoted the uptake of lithium ion, whereas at a higher concen tration the uptake was increased. It was also found that LiOH at above 16mM induced the re lease of cellular N-acetylglucosamine and UV-ab sorbing substances. Thus it was suggested that the growth inhibition was due to a partial disarrange ment of the cell membrane and wall.
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