Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle (English)
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- New search for: Ding, Feng
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- New search for: Ding, Feng
In:
IET Signal Processing
;
11
, 2
;
228-237
;
2017
- Article (Journal) / Electronic Resource
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Title:Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle
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Contributors:Xu, Ling ( author ) / Ding, Feng ( author )
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Published in:IET Signal Processing ; 11, 2 ; 228-237
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Publisher:
- New search for: The Institution of Engineering and Technology
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Publication date:2017-04-01
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Size:10 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:industrial process , multiinnovation stochastic gradient algorithm , innovation vector , interaction estimation theory , gradient search , hierarchical identification algorithm , hierarchical principle , stochastic disturbance , signal processing , scalar innovation , estimation theory , parameter estimation algorithm , dynamical response signal , decomposition technique , stochastic processes , nonlinear dynamical system , parameter estimation , gradient methods , multiinnovation theory
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Source:
Metadata by IET is licensed under CC BY 3.0
Table of contents – Volume 11, Issue 2
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 123
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LMMSE channel estimation in OFDM context: a reviewSavaux, Vincent / Louët, Yves et al. | 2017
- 135
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Alternating projection for sparse recoverySun, Tao / Du, Peibing / Cheng, Lizhi / Jiang, Hao et al. | 2017
- 145
-
Approximating the standard condition number for cognitive radio spectrum sensing with finite number of sensorsKobeissi, Hussein / Nafkha, Amor / Nasser, Youssef / Louët, Yves / Bazzi, Oussama et al. | 2017
- 155
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Compressed sensing-based ground MTI with clutter rejection scheme for synthetic aperture radarOveis, Amir Hosein / Sebt, Mohammad Ali et al. | 2017
- 165
-
Event-triggered state estimator for stochastic systems with unknown inputsLi, Wenling / Jia, Yingmin / Du, Junping et al. | 2017
- 171
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Non-convex block-sparse compressed sensing with redundant dictionariesLiu, Chunyan / Wang, Jianjun / Wang, Wendong / Wang, Zhi et al. | 2017
- 181
-
Optimal and accurate design of fractional-order digital differentiator – an evolutionary approachMahata, Shibendu / Saha, Suman Kumar / Kar, Rajib / Mandal, Durbadal et al. | 2017
- 197
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Linear estimators for networked systems with one-step random delay and multiple packet dropouts based on prediction compensationMa, Jing / Sun, Shuli et al. | 2017
- 205
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Implementation of wideband digital transmitting beamformer based on LFM waveformsFu, Wei / Jiang, Defu / Su, Yu / Qian, Rong / Gao, Yang et al. | 2017
- 213
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Time–frequency analysis method based on affine Fourier transform and Gabor transformWei, Deyun / Li, Yuan-Min / Wang, Ruikui et al. | 2017
- 221
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Depth of anaesthesia assessment using interval second-order difference plot and permutation entropy techniquesLi, Tianning / Wen, Peng et al. | 2017
- 228
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Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principleXu, Ling / Ding, Feng et al. | 2017