用离散小波变换去除射频干扰

Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96) Pub Date : 1996-06-18 DOI:10.1109/TFSA.1996.547485

Snezana Maslakovic, I. Linscott, M. Oslick, J. Twicken

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引用次数: 7

摘要

射频干扰(RFI)去除方法已经开发，使用离散小波变换(DWT)表示和基于优化熵或能量的小波选择，通过改变标准正交小波，并使用基于成本的树搜索算法来计算最优样本移位。这些方法已经应用于斯坦福大学150英尺抛物面天线获得的典型RFI波形，并成功地排除了RFI，同时保留了背景射电天文信号的完整性。

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Excising radio frequency interference using the discrete wavelet transform

Radio frequency interference (RFI) excision methods have been developed using discrete wavelet transform (DWT) representations and wavelet selection based on optimizing entropy or energy by varying orthonormal wavelets and using a cost-based tree-search algorithm to compute the optimal sample shift. These methods have been applied to typical RFI waveforms obtained from Stanford's 150-foot parabolic antenna, and have succeeded in excluding the RFI while leaving background radio astronomy signals intact.

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Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)

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