An upper bound of mean-square error in state estimation with quantized measurements
Sign Up to like & getrecommendations! Published in 2019 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331218765297
Abstract: In this paper, we study the state estimation for a linear time-invariant (LTI) discrete-time system with quantized measurements. The quantization law under consideration has a time-varying data rate. To cope with nonlinearities in quantization laws… read more here.
Keywords: state; estimation; upper bound; state estimation ... See more keywords
Tensor recovery from noisy and multi-level quantized measurements
Sign Up to like & getrecommendations! Published in 2020 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-020-00698-z
Abstract: Higher-order tensors can represent scores in a rating system, frames in a video, and images of the same subject. In practice, the measurements are often highly quantized due to the sampling strategies or the quality… read more here.
Keywords: quantized measurements; tensor recovery; level quantized; multi level ... See more keywords
Variance-constrained filtering for nonlinear systems with randomly occurring quantized measurements: recursive scheme and boundedness analysis
Sign Up to like & getrecommendations! Published in 2019 at "Advances in Difference Equations"
DOI: 10.1186/s13662-019-2000-0
Abstract: In this paper, the robust optimal filtering problem is discussed for time-varying networked systems with randomly occurring quantized measurements via the variance-constrained method. The stochastic nonlinearity is considered by statistical form. The randomly occurring quantized… read more here.
Keywords: quantized measurements; boundedness; occurring quantized; variance constrained ... See more keywords