Quantized identification of ARMA systems with colored measurement noise
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Publication:254550
DOI10.1016/j.automatica.2015.12.013zbMath1335.93135OpenAlexW2286089933MaRDI QIDQ254550
Keyou You, Chengpu Yu, Xie, Lihua
Publication date: 8 March 2016
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2015.12.013
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Related Items (8)
Variational Bayesian inference for the identification of FIR systems via quantized output data ⋮ Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances ⋮ Asymptotic efficiency and probabilistic error bound for maximum likelihood‐based identification of finite impulse response systems with binary‐valued observations and unreliable communications ⋮ Identification of ARMA models with binary-valued observations ⋮ The bias compensation based parameter and state estimation for observability canonical state-space models with colored noise ⋮ Recursive identification of systems with binary-valued outputs and with ARMA noises ⋮ Design of normalized fractional adaptive algorithms for parameter estimation of control autoregressive autoregressive systems ⋮ Recursive identification of quantized linear systems
Cites Work
- Unnamed Item
- Almost sure convergence rates for system identification using binary, quantized, and regular sensors
- On identification of FIR systems having quantized output data
- Joint identification of plant rational models and noise distribution functions using binary-valued observations
- Asymptotically efficient identification of FIR systems with quantized observations and general quantized inputs
- System identification with quantized observations
- Identification of ARMA models using intermittent and quantized output observations
- Recursive algorithms for parameter estimation with adaptive quantizer
- Recursive projection algorithm on FIR system identification with binary-valued observations
- Identification of Wiener systems with binary-valued output observations
- Blind system identification using precise and quantized observations
- Asymptotically efficient parameter estimation using quantized output observations
- Identification of Hammerstein Systems with Quantized Observations
- Filtering and System Identification
- Noise reduction in oversampled filter banks using predictive quantization
- Distributed Adaptive Quantization for Wireless Sensor Networks: From Delta Modulation to Maximum Likelihood
- Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques
- Quantized Identification With Dependent Noise and Fisher Information Ratio of Communication Channels
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