Title
Elimination Of The Nonminimum-Phase Problem At Major Sampling Intervals
Abstract
Dual time-scale sampling with intermediate discrete filtering, called moving-average skip sampling, is introduced to overcome the problem of unstable zeros of the sampled system. The new scheme proves easy to implement and efficiently recovers the minimum-phase property of the continuous system at major sampling intervals. An example illustrates the effect of moving-average skip sampling on the nonminimum-phase zeros. © 1992 Birkhäuser.
Publication Date
6-1-1992
Publication Title
Circuits Systems and Signal Processing
Volume
11
Issue
2
Number of Pages
309-324
Document Type
Article
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/BF01293678
Copyright Status
Unknown
Socpus ID
0026678298 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0026678298
STARS Citation
Zhihua, Qu; Qiren, Zhang; and John, Dorsey, "Elimination Of The Nonminimum-Phase Problem At Major Sampling Intervals" (1992). Scopus Export 1990s. 932.
https://stars.library.ucf.edu/scopus1990/932