%0 Journal Article
%T Stable Quantum Filters with Scattering Phenomena
%A Woakil Uddin Ahamed
%A Chandra Kambhampati
%A <br>
%J 国际自动化与计算杂志
%D 2008
%I 
%X Quantum neural network filters for signal processing have received a lot of interest in the recent past.The implementations of these filters had a number of design parameters that led to numerical inefficiencies.At the same time the solution procedures employed were explicit in that the evolution of the time-varying functions had to be controlled.This often led to numerical instabilities.This paper outlines a procedure for improving the stability,numerical efficiency,and the accuracy of quantum neural network filters.Two examples are used to illustrate the principles employed.
%K Filter
%K estimation
%K quantum neural network
%K probability density function
%K nonlinear wave equation<br>过滤器
%K 量子神经网络
%K 概率密度功能
%K 非线性波方程
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7139AD613512F4F05F6D525B914296AA&aid=0C19FEAE537F29F1AB5EBCC28CACB7B2&yid=67289AFF6305E306&vid=94C357A881DFC066&iid=0B39A22176CE99FB&sid=7C72DBC13F2D71EC&eid=205BE674D84A456D&journal_id=1476-8186&journal_name=国际自动化与计算杂志&referenced_num=0&reference_num=12