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Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals

• Authors : Vaerenbergh, Steven Van;

Subjects: spectral clustering; multiple-input multiple-output systems (MIMO); blind equalization of nonlinear systems621.3

• Source: TDR (Tesis Doctorales en Red)

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Dynamic deconvolution and identification of independent autoregressive sources.

• Authors : Gourieroux, Christian¹ (AUTHOR); Jasiak, Joann² (AUTHOR)

• Source: Journal of Time Series Analysis. Mar2023, Vol. 44 Issue 2, p151-180. 30p.

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Three layered sparse dictionary learning algorithm for enhancing the subject wise segregation of brain networks.

• Authors : Khalid, Muhammad Usman¹; Nauman, Malik Muhammad²; Akram, Sheeraz¹

• Source: Scientific Reports. 8/17/2024, Vol. 14 Issue 1, p1-18. 18p.

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Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals.

• Authors : Iliev, Filip L.¹; Stanev, Valentin G.¹; Vesselinov, Velimir V.²

Subjects: *SIGNAL processing; *BAYESIAN analysis; *BLIND source separation

• Source: PLoS ONE. 3/8/2018, Vol. 13 Issue 3, p1-20. 20p.

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An ICA Framework for Digital Background Calibration of Analog-to-Digital Converters.

• Authors : Yun Chiu¹ ; Seung-Chul Lee² ; Wenbo Liu³

• Source: Sampling Theory in Signal & Image Processing. 2012, Vol. 11 Issue 2/3, p253-270. 18p. 8 Diagrams, 6 Graphs.

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A Review of Tags Anti-Collision Identification Methods Used in RFID Technology

• Authors : Ling Wang; Zhongqiang Luo; Ruiming Guo

Subjects: RFID; anti-collision algorithm; ALOHA

• Source: Electronics ; Volume 12 ; Issue 17 ; Pages: 3644

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A Deep CNN Framework for Neural Drive Estimation From HD-EMG Across Contraction Intensities and Joint Angles

• Authors : Yue Wen; Sangjoon J. Kim; Simon Avrillon

Subjects: High-density electromyography (HD-EMG); neural drive; convolutional neural network (CNN)

• Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2950-2959 (2022)

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Independent EEG Sources Are Dipolar

• Authors : Delorme, Arnaud; Palmer, Jason; Onton, Julie

Subjects: Information and Computing Sciences; Machine Learning; Algorithms

• Source: PLOS ONE. 7(2)

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Blind Source Separation for the Aggregation of Machine Learning Algorithms: An Arrhythmia Classification Case

• Authors : Krzysztof Gajowniczek; Iga Grzegorczyk; Michał Gostkowski

Subjects: arrhythmia; false alarm; blind source separation

• Source: Electronics; Volume 9; Issue 3; Pages: 425

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Nonlinear and robust independent component analysis for stochastic processes

• Authors : Schell, A; Oberhauser, H

Subjects: Mathematics; Machine learning; Stochastic analysis

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