基于MISO滤波器的重构r重平移不变子空间采样研究  

Study on reconstruction sampling in shift-invariant subspace with multiplicity r based on MISO filter

作　　者：朱肇轩[1] 王厚军[1] 王志刚[1] 

机构地区：[1]电子科技大学自动化工程学院,成都610054

出　　处：《仪器仪表学报》2010年第1期21-25,共5页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(60772145);新世纪优秀人才支持计划(NCET-06-0808)资助项目

摘　　要：本文根据信号在r重平移不变子空间中的逼近表达式,建立起了r重平移不变子空间上的采样与重构模型;利用FIR滤波器、插值器将重构模型转化为离散的多输入单输出(MISO)滤波器,以保证重构模型在数字系统中可实现。最后,以正弦调频信号为例,从信号时频分布的角度验证了MISO滤波器可实现r重平移不变子空间采样的重构。The paper establishes a model of sampling and reconstruction according to the approximate form of the signal in shift-invariant subspace with multiplicity r. Based on FIR filters and interpolations, the reconstruction model is transformed into a discrete multi-input single-output （MISt） filter to guarantee that the model can be realized in digital systems. Finally, taking frequency modulation sine signal as an example, experimentation of time-frequency distribution of the signal shows that the reconstruction algorithm is effective.

关 键 词：r重平移不变子空间 采样重构 MISO滤波器 插值 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]