Stable Quantum Filters with Scattering Phenomena

作     者：W.U.Ahamed C.Kambhampati 

作者机构：Department of Computer ScienceUniversity of Hull 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志（英文版）)

年 卷 期：2008年第5卷第2期

页      面：132-137页

核心收录：

学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Filter estimation quantum neural network probability density function nonlinear wave equation 

摘      要：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.