Denoising Radiocommunications Signals by Using Iterative Wavelet Shrinkage

DOI10.1111/1467-9876.00276zbMath1111.62322OpenAlexW2024950377MaRDI QIDQ3435722

Paul D. Baxter, Graham J. G. Upton

Publication date: 7 May 2007

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9876.00276

Mathematics Subject Classification ID

Inference from stochastic processes and spectral analysis (62M15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60)

Related Items (1)

Differentiating Noisy Radiocommunications Signals: Wavelet Estimation of a Derivative in the Presence of Heteroscedastic Noise

Uses Software

• wavethresh

Cites Work

• Wavelet Thresholding via A Bayesian Approach
• Using wavelets for data smoothing: A simulation study

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