Multiwavelets: Theory and Bioinformatic Applications

DOI10.1080/03610920902947170zbMath1175.62033OpenAlexW2109341622MaRDI QIDQ3645009

Sam Efromovich

Publication date: 16 November 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920902947170

zbMATH Keywords

learningasymptoticcolored noiseadaptationoraclefMRImicroarray

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Bayesian inference (62F15) Biomedical imaging and signal processing (92C55) Numerical methods for wavelets (65T60) Biochemistry, molecular biology (92C40)

Uses Software

• ChIPOTle

Cites Work

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• A data-driven block thresholding approach to wavelet estimation
• Nonparametric curve estimation. Methods, theory, and applications
• Fractal functions and wavelet expansions based on several scaling functions
• Matrix thresholding for multiwavelet image denoising
• Statistically based multiwavelet denoising
• Nonparametric Estimation of a Density of Unknown Smoothness
• Ten Lectures on Wavelets
• Ideal spatial adaptation by wavelet shrinkage
• Data-Driven and Optimal Denoising of a Signal and Recovery of Its Derivative Using Multiwavelets

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