利用Bayesian多尺度模型的X射线脉冲星信号估计

doi:10.3969/j.issn.1001-2400.2013.04.015

Abstract

Abstract:

To extract the X-ray pulsar signal buried in the strong noise, an estimation method based on the Bayesian multiscale model is proposed. The X-ray pulsar signal is modeled according to the Poisson process. The algorithm is used to decompose the signal into multiscale trees using Recursive Dyadic Partitions. The signal intensity is modeled by the characteristic of independent Poisson random variance. Under the squared-error loss function, the estimator is obtained by computing the posterior estimation. The performance of the algorithm is investigated through real-data from RXTE. The effectiveness and applicability of the proposed approach are demonstrated.

Key words: X-ray pulsar, denoising, Poisson process, epoch folding, Bayesian multiscale model

LIU Xiuping;LI Xiaoping;SUN Haifeng;FANG Haiyan. Estimation of the X-ray pulsar signal based on the Bayesian multiscale model[J].J4, 2013, 40(4): 90-95.

References

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Estimation of the X-ray pulsar signal based on the Bayesian multiscale model

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