Recursive Identification of IIR Systems with Multilevel Output Quantization
Three gradient type recursive algorithms for the identification of Infinite Impulse Response (IIR) systems whose outputs are subject to multilevel quantization are presented in this paper. Proof of consistency of the estimates are provided. The influence of the quantization step on the performance o...
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Published in | 2018 Argentine Conference on Automatic Control (AADECA) pp. 1 - 6 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
Argentine Association of Automatic Control
01.11.2018
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Subjects | |
Online Access | Get full text |
DOI | 10.23919/AADECA.2018.8577232 |
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Abstract | Three gradient type recursive algorithms for the identification of Infinite Impulse Response (IIR) systems whose outputs are subject to multilevel quantization are presented in this paper. Proof of consistency of the estimates are provided. The influence of the quantization step on the performance of the proposed algorithms, and their capability to track time-varying parameters are analyzed through simulation examples. |
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AbstractList | Three gradient type recursive algorithms for the identification of Infinite Impulse Response (IIR) systems whose outputs are subject to multilevel quantization are presented in this paper. Proof of consistency of the estimates are provided. The influence of the quantization step on the performance of the proposed algorithms, and their capability to track time-varying parameters are analyzed through simulation examples. |
Author | Carlos Gomez, Juan Brauchli, Guillermo |
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Snippet | Three gradient type recursive algorithms for the identification of Infinite Impulse Response (IIR) systems whose outputs are subject to multilevel quantization... |
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SubjectTerms | Convergence Covariance matrices Finite impulse response filters Gradient Type Algorithms Kalman filters Quantization (signal) Quantized Data Recursive Identification Transfer functions |
Title | Recursive Identification of IIR Systems with Multilevel Output Quantization |
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