Adaptive IIR Filtering Using a Stochastic Filter

使用随机滤波器的自适应 IIR 滤波

• 批准号: 9106126
• 负责人: Delores Etter
• 金额: $ 9.46万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-09-01 至 1996-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9106126&HistoricalAwards=false
• 关键词: Adaptive; IIR; Filtering; Using; Stochastic

Etter A stochastic filter consists of a bank of fixed filters with a set of corresponding probabilities. The fixed filters from a basis set of filters for the stochastic filter, and the probabilities determine the specific realization represented by the stochastic filter. This research is investigating the use of a stochastic filter to adaptively model an Infinite Impulse Response (IIR) system. Guidelines for selecting the basic set of filters are being developed in order to represent an adaptive IIR filter and to meet both accuracy and convergence speed constraints.

随机过滤器由一组具有一组相应概率的固定过滤器组成。来自随机滤波器的滤波器基集合中的固定滤波器，以及概率确定由随机滤波器表示的具体实现。这项研究正在研究使用随机滤波器对无限脉冲响应(IIR)系统进行自适应建模。正在制定选择基本滤波器组的准则，以表示自适应IIR滤波器，并满足精度和收敛速度限制。