Sparse Bayesian representation in time-frequency domain

DOI10.1016/j.jspi.2015.02.008zbMath1329.62218OpenAlexW1986969112MaRDI QIDQ899546

Jeongran Lee, Hee-Seok Oh, Gwangsu Kim, Yongdai Kim

Publication date: 29 December 2015

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2015.02.008

zbMATH Keywords

regularizationGabor framesBayesian inferencetime-frequency analysissparsityovercomplete dictionariesbeta-Bernoulli prior

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Bayesian inference (62F15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• PDCO

Cites Work

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• Asymptotic normality of posterior distributions in high-dimensional linear models
• Foundations of time-frequency analysis
• Bayesian variable selection for high dimensional generalized linear models: convergence rates of the fitted densities
• Bayesian Variable Selection in Linear Regression
• Atomic Decomposition by Basis Pursuit
• Local Harmonic Estimation in Musical Sound Signals
• Bayesian Variable Selection and Regularization for Time–Frequency Surface Estimation
• Matching pursuits with time-frequency dictionaries
• Equation of State Calculations by Fast Computing Machines
• Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics
• Monte Carlo sampling methods using Markov chains and their applications

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