A stochastic multirate signal processing approach to high-resolution signal reconstruction

被引：0
|
作者：
Scrofani, JW [1 ]
Therrien, CW [1 ]
机构：
[1] USN, Postgrad Sch, Dept Elect & Comp Engn, Monterey, CA 93943 USA
来源：
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper addresses the problem of reconstructing a signal at some high sampling rate from a set of signals sampled at a lower rate and subject to additive noise and distortion. A set of periodically time-varying filters are employed in reconstructinly the underlying signal. Results are presented for a one-dimensional case involving simulated data, as well as for a two-dimensional case involving real image data where the image is processed by rows. In both cases, considerable improvement is evident after the processing.
引用
收藏
页码：561 / 564
页数：4
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