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 109 articles )

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  1. Khoromskaia, V.; Khoromskij, B. N.: Prospects of tensor-based numerical modeling of the collective electrostatics in many-particle systems (2021)
  2. Wang, Ruibing; Wu, Min; Shi, Yimin; Ng, Hon Keung Tony; Zhang, Fode: The geometric structure on a degradation model with application to optimal design under a cost constraint (2021)
  3. Espig, Mike; Hackbusch, Wolfgang; Litvinenko, Alexander; Matthies, Hermann G.; Zander, Elmar: Iterative algorithms for the post-processing of high-dimensional data (2020)
  4. Lu, Lu; Yu, Yi: (\mathcalL_p)-norm of the LMS algorithm for bilinear forms with (\alpha)-stable processes (2020)
  5. Zhang, Fode; Shi, Yimin: Geometry on the statistical manifold induced by the degradation model with soft failure data (2020)
  6. Althahab, Awwab Qasim Jumaah: A new hybrid adaptive combination technique for ECG signal enhancement (2019)
  7. Lahat, Dana; Jutten, Christian; Shapiro, Helene: Schur’s lemma for coupled reducibility and coupled normality (2019)
  8. Litvinenko, Alexander; Keyes, David; Khoromskaia, Venera; Khoromskij, Boris N.; Matthies, Hermann G.: Tucker tensor analysis of Matérn functions in spatial statistics (2019)
  9. Zhang, Fode; Ng, Hon Keung Tony; Shi, Yimin; Wang, Ruibing: Amari-Chentsov structure on the statistical manifold of models for accelerated life tests (2019)
  10. Shitov, Yaroslav: A counterexample to Comon’s conjecture (2018)
  11. Ashino, Ryuichi; Mandai, Takeshi; Morimoto, Akira: Continuous multiwavelet transform for blind signal separation (2017)
  12. Jari Miettinen and Klaus Nordhausen and Sara Taskinen: Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp (2017) not zbMATH
  13. Li, Hailin: Distance measure with improved lower bound for multivariate time series (2017)
  14. Liu, Zixin; Liu, Yuanan; Xiong, Lianglin: Robust linear neural network for constrained quadratic optimization (2017)
  15. Maulik, R.; San, O.: A neural network approach for the blind deconvolution of turbulent flows (2017)
  16. Amezquita-Sanchez, Juan Pablo; Adeli, Hojjat: Signal processing techniques for vibration-based health monitoring of smart structures (2016)
  17. Piotrowski, Tomasz; Yamada, Isao: Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio (2016)
  18. Wang, Fasong; Li, Rui; Wang, Zhongyong; Zhang, Jiankang: Compressed blind signal reconstruction model and algorithm (2016)
  19. Wang, Rongjie; Zhan, Yiju; Zhou, Haifeng: A class of sequential blind source separation method in order using swarm optimization algorithm (2016)
  20. Zhang, Xinzhen; Huang, Zheng-Hai; Qi, Liqun: Comon’s conjecture, rank decomposition, and symmetric rank decomposition of symmetric tensors (2016)

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