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A histogram based data-reducing algorithm for the fixed-point independent component analysis

✍ Scribed by Shih-Hsuan Chiu; Chuan-Pin Lu; Dien-Chi Wu; Che-Yen Wen

Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
329 KB
Volume
29
Category
Article
ISSN
0167-8655

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✦ Synopsis

This paper proposes a histogram based data-reducing algorithm for improving the performance of the fixed-point independent component analysis (FastICA). This data-reducing independent component analysis (DR-FastICA) is based upon two statistical criteria to keep the histogram contour of processed data. This algorithm uses two steps (a coarse step for data sampling and a fine one for data tuning) to improve the performance of FastICA. Experimental results show that the proposed algorithm can reduce the computation time and implementation memory needed for executing FastICA, especially for large amounts of data (e.g. 1024 β€’ 1024 images).

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