Results 151 to 160 of about 4,245 (179)

Cramer-Rao bound for gated PET

IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2010
Respiratory and cardiac motions degrade the spatial resolution in PET and SPECT imaging, with a negative impact on the diagnostic accuracy for cardiac studies and for the detection of lung tumors. The goal of this work is to determine the limit on the achievable performance in gated PET reconstruction with joint motion estimation, without external data,
Cloquet, Christophe, Goldman, Serge, Defrise, Michel   +2 more
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The Cramer Rao bound of estimating a Sinusoid

2008 9th International Conference on Signal Processing, 2008
The Cramer-Rao bound (CRB) for estimating a Sinusoid was only discussed numerically under some special cases in references. It will be investigated under a theoretical frame for a general case. It is shown that, firstly, the critical CRB depends on the cycles in the record and the sole sample at the recorded window center. Secondly, for a short record,
null Huang Qing, null Tan Zhenhui
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Concentrated Cramer-Rao bound expressions

IEEE Transactions on Information Theory, 1994
Summary: We present a method to simplify the analytical computation of the Cramér-Rao bound. The method circumvents bound calculations for so- called nuisance parameters. Under mild regularity conditions the technique, which replaces expectations with almost sure limits, can significantly lower the analytical complexity as compared to traditional ...
Bertrand M. Hochwald, Arye Nehorai
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Cramer-Rao lower bounds for a damped sinusoidal process

IEEE Transactions on Signal Processing, 1995
The Cramer-Rao lower bounds (CRLBs) for the parameter estimators of a damped sinusoidal process are derived in this paper. Succinct matrix expressions for CRLB's of frequency, damping factor, amplitude, and initial phase are given for both scalar and vector processes.
Ying-Xian Yao, Sudhakar M. Pandit
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Deterministic Cramer-Rao Bound for Scanning Radar Sensing

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
In this paper, the Cramer-Rao Bound (CRB) for scanning radar sensing is investigated, providing an algorithm-independent bound on the angular estimation error. Based on the deterministic signal model, we first derive a numerical CRB for unknown real signal parameters.
Yongchao Zhang 0001, Yin Zhang 0003, Yulin Huang 0001, Jianyu Yang 0001, Xiaobo Yang   +4 more
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Cramer-Rao bounds for the estimation of normal mixtures

Pattern Recognition Letters, 1989
Abstract A problem of a normal mixture decomposition is discussed in terms of fuzzy classification variables, which are introduced as the class assignment probabilities. This allows to develop a formalism for the description of an intuitive notion of overlaps between classes.
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Cramer-Rao Lower Bound for Harmonic and Subharmonic Estimation

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
Recently, Zarowski and Kmpyvnytskyy developed a modified iterative cosinor algorithm (MICA) for the estimation of the parameters of sinusoidal signals with harmonics and subharmonics contaminated by AWGN, and derived the Cramer-Rao Lower Bound (CRLB) for the estimation of fundamental frequency component of such signals.
Zhili Chen, Behrouz Nowrouzian, Christopher J. Zarowski   +2 more
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Decreasing Cramer–Rao lower bound by preprocessing steps

Signal, Image and Video Processing, 2019
In this paper, having reviewed necessary preliminaries, including sparsity, Tsallis entropy, diversity, preprocessing, fisher information, and Cramer–Rao bound, we analyze the impact of preprocessing a signal on the signal sparsity related to Cramer–Rao lower bound and its main feature, for example, its reconstruction error. The main idea of this paper
Sara Monem Khorasani, Ghosheh Abed Hodtani, Mohammad Molavi Kakhki   +2 more
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MSE bounds dominating the cramer-RAO bound

IEEE/SP 13th Workshop on Statistical Signal Processing, 2005, 2005
Traditional Cramer-Rao type bounds provide benchmarks on the variance of any estimator of a deterministic parameter vector, while requiring a priori specification of a desired bias gradient. However, in applications, it is often not clear how to choose the required bias. A direct measure of the estimation error that takes both the variance and the bias
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Cramer-Rao bounds and instrument optimization for slitless spectroscopy

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Spectroscopy is a fundamental diagnostic technique in physical sciences with widespread application. Multi-order slitless imaging spectroscopy has been recently proposed to overcome the limitations of traditional spectrographs, in particular their small instantaneous field of view.
Figen S. Oktem, Farzad Kamalabadi, Joseph M. Davila   +2 more
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