Denoising Radiocommunications Signals by Using Iterative Wavelet Shrinkage
Paul David Baxter, GRAHAM J. G. UPTON · Journal of the Royal Statistical Society Series C (Applied Statistics) · 2002
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.