Comments on “Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems”
This note points out some errors in the identification algorithms presented by M. A. Z. Raja and N. I. Chaudhary for estimation of controlled autoregressive moving average systems [“Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems”, Signal Pro...
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| Published in | Signal processing Vol. 117; pp. 279 - 280 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.12.2015
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0165-1684 1872-7557 |
| DOI | 10.1016/j.sigpro.2015.06.001 |
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| Abstract | This note points out some errors in the identification algorithms presented by M. A. Z. Raja and N. I. Chaudhary for estimation of controlled autoregressive moving average systems [“Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems”, Signal Processing 107 (2015), 327–339.]. Corrections on the basis of established techniques are also mentioned that solve the problems of the above mentioned paper. In addition, lack of any technical innovation between single stage and two-stage algorithms is highlighted.
•No technical difference between single stage and two-stage algorithms of [1].•Noise v(t) is treated as known signal. This is totally wrong.•Solutions of issues are presented on the basis of established results. |
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| AbstractList | This note points out some errors in the identification algorithms presented by M. A. Z. Raja and N. I. Chaudhary for estimation of controlled autoregressive moving average systems [“Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems”, Signal Processing 107 (2015), 327–339.]. Corrections on the basis of established techniques are also mentioned that solve the problems of the above mentioned paper. In addition, lack of any technical innovation between single stage and two-stage algorithms is highlighted.
•No technical difference between single stage and two-stage algorithms of [1].•Noise v(t) is treated as known signal. This is totally wrong.•Solutions of issues are presented on the basis of established results. |
| Author | Aslam, Muhammad Saeed |
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| CitedBy_id | crossref_primary_10_1016_j_sigpro_2016_11_009 crossref_primary_10_1007_s11071_016_3058_9 |
| Cites_doi | 10.1016/j.automatica.2005.03.026 10.1007/s11071-005-1850-z 10.1016/j.sigpro.2014.06.015 |
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| Keywords | Fractional signal processing Fractional LMS Adaptive filtering CARMA systems Parameter estimation |
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| References | Ding, Shi, Chen (bib3) 2006; 45 Ding, Chen (bib2) 2005; 41 Raja, Chaudhary (bib1) 2015; 107 Ding (10.1016/j.sigpro.2015.06.001_bib2) 2005; 41 Raja (10.1016/j.sigpro.2015.06.001_bib1) 2015; 107 Ding (10.1016/j.sigpro.2015.06.001_bib3) 2006; 45 |
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| SubjectTerms | Adaptive filtering CARMA systems Fractional LMS Fractional signal processing Parameter estimation |
| Title | Comments on “Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems” |
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