Independent component analysis based on fast proximal gradient

DOI10.1007/s00034-011-9317-6zbMath1253.94029OpenAlexW2014918849MaRDI QIDQ430814

Liping Li, Hefa Zhang, Wanchun Li

Publication date: 26 June 2012

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-011-9317-6

zbMATH Keywords

convex optimizationindependent component analysis (ICA)blind source separation (BSS)fast proximal gradient

Mathematics Subject Classification ID

Convex programming (90C25) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Nonnegative mixture for underdetermined blind source separation based on a tensor algorithm

Uses Software

• R
• FastICA

Cites Work

• Unnamed Item
• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
• Independent component analysis for multiple-input multiple-output wireless communication systems
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• Independent component analysis by general nonlinear Hebbian-like learning rules
• Conjugate gradient and steepest descent constant modulus algorithms applied to a blind adaptive array
• A proximal gradient descent method for the extended second-order cone linear complementarity problem
• Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems

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