The ICALAB toolboxes. ICALAB for Signal Processing and ICALAB for Image Processing are two independent demo packages for MATLAB that implement a number of efficient algorithms for ICA (independent component analysis) employing HOS (higher order statistics), BSS (blind source separation) employing SOS (second order statistics) and LP (linear prediction), and BSE (blind signal extraction) employing various SOS and HOS methods.

References in zbMATH (referenced in 21 articles )

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  1. Rongjie, Wang; Yiju, Zhan; Haifeng, Zhou: A class of sequential blind source separation method in order using swarm optimization algorithm (2016)
  2. Li, Wei; Yang, Huizhong: A non-linear blind source separation method based on perceptron structure and conjugate gradient algorithm (2014)
  3. Pendse, Gautam V.: PMOG: The projected mixture of Gaussians model with application to blind source separation (2012)
  4. Ren, Dongxiao; Ye, Mao: Extracting post-nonlinear signal with specific kurtosis range (2012)
  5. Yang, Shangming; Ye, Mao: Multistability of $\alpha$-divergence based NMF algorithms (2012)
  6. Zhao, Yongjian; Liu, Boqiang; Wang, Sen: A robust extraction algorithm for biomedical signals from noisy mixtures (2011)
  7. Wang, Fasong; Li, Hongwei; Li, Rui: Harmonic signals retrieval approach based on blind source separation (2010)
  8. Yang, Shangming; Yi, Zhang: Convergence analysis of non-negative matrix factorization for BSS algorithm (2010)
  9. He, Zhaoshui; Cichocki, Andrzej; Li, Yuanqing; Xie, Shengli; Sanei, Saeid: K-hyperline clustering learning for sparse component analysis (2009)
  10. Hosseini, Shahram; Deville, Yannick; Saylani, Hicham: Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain (2009)
  11. Reju, V.G.; Koh, Soo Ngee; Soon, Ing Yann: An algorithm for mixing matrix estimation in instantaneous blind source separation (2009)
  12. Xue, Yun-Feng; Wang, Yu-Jia; Yang, Jie: An independent component analysis algorithm through solving gradient equation combined with kernel density estimation (2009)
  13. Ye, Yalan; Sheu, Phillip C.-Y.; Zeng, Jiazhi; Wang, Gang; Lu, Ke: An efficient semi-blind source extraction algorithm and its applications to biomedical signal extraction (2009)
  14. Ma, Shiwei; Li, Kang: Fast parametric time-frequency modeling of nonstationary signals (2008)
  15. Wang, Gang; Rao, NiNi; Zhang, Ying: Atrial fibrillatory signal estimation using blind source extraction algorithm based on high-order statistics (2008)
  16. Ye, Yalan; Zhang, Zhi-Lin; Zeng, Jiazhi; Peng, Lei: A fast and adaptive ICA algorithm with its application to fetal electrocardiogram extraction (2008)
  17. Buscema, Massimo; Capriotti, Massimiliano; Bergami, Francesca; Babiloni, Claudio; Rossini, Paolo; Grossi, Enzo: The implicit function as squashing time model: a novel parallel nonlinear EEG analysis technique distinguishing mild cognitive impairment and Alzheimer’s disease subjects with high degree of accuracy (2007)
  18. Halder, Sebastian; Bensch, Michael; Mellinger, Jürgen; Bogdan, Martin; Kübler, Andrea; Birbaumer, Niels; Rosenstiel, Wolfgang: Online artifact removal for brain-computer interfaces using support vector machines and blind source separation (2007)
  19. Lin, Qiu-Hua; Zheng, Yong-Rui; Yin, Fu-Liang; Liang, Hualou; Calhoun, Vince D.: A fast algorithm for one-unit ICA-R (2007)
  20. Martinez, Pablo; Bakardjian, Hovagim; Cichocki, Andrzej: Fully online multicommand brain-computer interface with visual neurofeedback using SSVEP paradigm (2007)

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