Chapter 52 X-Ray Pulsar Signal Detection Based on Time-Frequency Distributions and Shannon Entropy

摘要

A new algorithm based on time-frequency distribution and Shannon entropy in S transform domain is proposed for accurately and fast detecting pulsar signals in this paper. The bounds on the expected value of Shannon entropy of white Gaussian noise are derived. Based on these constant signatures, the optimum threshold detection algorithm based on the ROC curve is employed to detect pulsar signals. Finally, the experimental results show that the proposed method has high detection rate, fast processing speed and low requirement for temporal resolution.