An independent component analysis algorithm through solving gradient equation combined with kernel density estimation

DOI10.1007/S12204-009-0204-2zbMath1219.65016OpenAlexW127843281MaRDI QIDQ615221

Jie Yang, Yu-Jia Wang, Yun-Feng Xue

Publication date: 5 January 2011

Published in: Journal of Shanghai Jiaotong University (Science) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12204-009-0204-2

zbMATH Keywords

algorithmnumerical examplesblind source separationindependent component analysisiterative methodsignalsgradient methodkernel density estimationimages

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• FastICA
• EFICA
• ICALAB

Cites Work

• Blind separation of sources. II: Problems statement
• Blind separation of sources. III: Stability analysis
• Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
• Phoneme recognition using ICA-based feature extraction and transformation
• Independent component analysis, a new concept?
• A unifying information-theoretic framework for independent component analysis
• Algorithm AS 176: Kernel Density Estimation Using the Fast Fourier Transform
• Performance analysis of the FastICA algorithm and Crame/spl acute/r-rao bounds for linear independent component analysis

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