IEEE Signal Processing Letters

Journal: IEEE Signal Processing Letters

Abbreviation

IEEE signal process. lett.

Publisher

IEEE

ISSN

1070-9908
1558-2361

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Publications1 - 7 of 7

Boosting Independent Component Analysis
Li, Yunpeng; Ye, Zhaohui (2022)
IEEE Signal Processing Letters
Independent component analysis is intended to recover the mutually independent components from their linear mixtures. This technique has been widely used in many fields, such as data analysis, signal processing, and machine learning. To alleviate the dependency on prior knowledge concerning unknown sources, many nonparametric methods have been proposed. In this paper, we present a novel boosting-based algorithm for independent component analysis. Our algorithm consists of maximizing likelihood estimation via boosting and seeking unmixing matrix by the fixed-point method. A variety of experiments validate its performance compared with many of the presently known algorithms.
Unscented von Mises-Fisher Filtering
Kurz, Gerhard; Gilitschenski, Igor; Hanebeck, Uwe D. (2016)
IEEE Signal Processing Letters
Joint Tracking and Ground Plane Estimation
Kwon, Junseok; Dragon, Ralf; Van Gool, Luc (2016)
IEEE Signal Processing Letters
Filtering of nonuniformly sampled bandlimited functions
Huber, Adrian E.G.; Liu, Shih-Chii (2019)
IEEE Signal Processing Letters
Universum Autoencoder-Based Domain Adaptation for Speech Emotion Recognition
Deng, Jun; Xu, Xinzhou; Zhang, Zixing; et al. (2017)
IEEE Signal Processing Letters
Probabilistic Time of Arrival Localization
Pérez-Cruz, Fernando; Olmos, Pablo M.; Zhang, Michael M.; et al. (2019)
IEEE Signal Processing Letters
Learning Dictionaries With Bounded Self-Coherence
Sigg, C.D.; Dikk, T.; Buhmann, Joachim M. (2012)
IEEE Signal Processing Letters

Publications1 - 7 of 7

Journal: IEEE Signal Processing Letters

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