Results 11 to 20 of about 3,666 (129)

Cramér–Rao lower bound for ATSC signal‐based passive radar systems

open access: yesElectronics Letters, 2019
In multistatic passive radar systems, the Cramér–Rao lower bound (CRLB) can be used to select the optimal illuminator of opportunity so that it provides the best estimation accuracy for target parameters.
M. Alslaimy, G.E. Smith
doaj   +1 more source

Optomechanical parameter estimation

open access: yesNew Journal of Physics, 2013
We propose a statistical framework for the problem of parameter estimation from a noisy optomechanical system. The Cramér–Rao lower bound on the estimation errors in the long-time limit is derived and compared with the errors of radiometer and ...
Shan Zheng Ang   +3 more
doaj   +1 more source

Cramér-Rao Lower Bound of Target Localization Method Based on TOA Measurements

open access: yesXibei Gongye Daxue Xuebao, 2019
The Cramér-Rao bound of target localization method based on time-of-arrival measurements is analyzed. For the localization error analysis, the CRLB is derived under the assumptions that the measurement errors are independent and characterized by zero ...

doaj   +1 more source

On stability of generalized (affine) phase retrieval in the complex case

open access: yesJournal of Inequalities and Applications, 2019
In this paper, we discuss the stability of generalized phase retrieval and generalized affine phase retrieval in the complex case. By the realification method, we obtain the bi-Lipschitz property in the absence of noise case and Cramer–Rao lower bound ...
Zhitao Zhuang
doaj   +1 more source

Recursive joint Cramér‐Rao lower bound for parametric systems with two‐adjacent‐states dependent measurements

open access: yesIET Signal Processing, 2021
Joint Cramér‐Rao lower bound (JCRLB) is very useful for the performance evaluation of joint state and parameter estimation (JSPE) of non‐linear systems, in which the current measurement only depends on the current state.
Xianqing Li   +2 more
doaj   +1 more source

Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method

open access: yesFrontiers in Computational Neuroscience, 2023
Hierarchical Temporal Memory (HTM) is an unsupervised algorithm in machine learning. It models several fundamental neocortical computational principles.
Shiva Sanati   +2 more
doaj   +1 more source

Blind SNR estimation based on cyclostationarity

open access: yesTongxin xuebao, 2006
Upsampling and shaping filtering introduce the cyclostationarity of transmit signals. Based on the cyclosta-tionary statistics of signals, a blind SNR estimator in AWGN channel was proposed.
HUA Meng, ZHU Jin-kang, GONG Ming
doaj   +2 more sources

Frequency estimator by combination of phase difference method and interpolation algorithm

open access: yesJournal of Algorithms & Computational Technology, 2019
In the traditional time-shifting based phase difference method, considerable errors may be introduced by wrapped phase problem as long as translation coefficient tends to one even in a small-scale turbulence noise.
Haitao Xu   +4 more
doaj   +1 more source

Valid lower bound for all estimators in quantum parameter estimation

open access: yesNew Journal of Physics, 2016
The widely used quantum Cramér–Rao bound (QCRB) sets a lower bound for the mean square error of unbiased estimators in quantum parameter estimation, however, in general QCRB is only tight in the asymptotical limit.
Jing Liu, Haidong Yuan
doaj   +1 more source

On stability of generalized phase retrieval and generalized affine phase retrieval

open access: yesJournal of Inequalities and Applications, 2019
In this paper, we consider the stability of intensity measurement mappings corresponding to generalized phase retrieval and generalized affine phase retrieval in the real case. First, we show the bi-Lipschitz property on measurements of noiseless signals.
Zhitao Zhuang
doaj   +1 more source

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