Denoising radiocommunications signals by using iterative wavelet shrinkage

Paul D. Baxter and Graham J. G. Upton

Journal of the Royal Statistical Society Series C, 2002, vol. 51, issue 4, 393-403

Abstract: Summary. Radiocommunications signals pose particular problems in the context of statistical signal processing. This is because short‐term fluctuations (noise) are a consequence of atmospheric effects whose characteristics vary in both the short and the longer term. We contrast traditional time domain and frequency domain filters with wavelet methods. We also propose an iterative wavelet procedure which appears to provide benefits over existing wavelet methods.

Date: 2002
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https://doi.org/10.1111/1467-9876.00276

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:51:y:2002:i:4:p:393-403

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