Blind image source separations by wavelet analysis

DOI10.1080/00036811.2011.616497zbMath1238.42016OpenAlexW2082186121WikidataQ58292928 ScholiaQ58292928MaRDI QIDQ2883304

Takeshi Mandai, Shusuke Kataoka, Akira Morimoto, Ryuichi Ashino

Publication date: 11 May 2012

Published in: Applicable Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00036811.2011.616497

zbMATH Keywords

time-frequency analysisblind image source separationcontinuous multiwavelet transform

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (5)

Blind deconvolution using bilateral total variation regularization: a theoretical study and application ⋮ The Kalai Smorodinsky solution for blind deconvolution ⋮ Multistage blind source separations by wavelet analysis ⋮ Logarithmic uncertainty principle, convolution theorem related to continuous fractional wavelet transform and its properties on a generalized Sobolev space ⋮ Continuous Multiwavelet Transform for Blind Signal Separation

Cites Work

• The uncertainty principle: A mathematical survey
• Smooth tight frame wavelets and image microanalysis in the Fourier domain
• BLIND SOURCE SEPARATION OF SPATIO-TEMPORAL MIXED SIGNALS USING PHASE INFORMATION OF ANALYTIC WAVELET TRANSFORM
• The wavelet transform, time-frequency localization and signal analysis
• Mathematical background for a method on quotient signal decomposition
• Blind source separation of spatio-temporal mixed signals using time-frequency analysis
• The monogenic signal
• Blind Separation of Speech Mixtures via Time-Frequency Masking

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