Results 251 to 260 of about 150,011 (287)
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Independent Vector Analysis: An Extension of ICA to Multivariate Components
2006In this paper, we solve an ICA problem where both source and observation signals are multivariate, thus, vectorized signals. To derive the algorithm, we define dependence between vectors as Kullback-Leibler divergence between joint probability and the product of marginal probabilities, and propose a vector density model that has a variance dependency ...
Taesu Kim, Torbjørn Eltoft, Te-Won Lee
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Classifying hemodynamics of MR brain perfusion images using independent component analysis (ICA)
Proceedings of the International Joint Conference on Neural Networks, 2003., 2004Dynamic-susceptibility-contrast MR imaging is a widely used perfusion imaging technique that records signal changes on images caused by the passage of contrast-agent particles in the human brain after a bolus injection of contrast agent. The signal changes over time on different brain tissues represent distinct blood supply patterns and are crucial for
null Yu-Te Wu +5 more
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Application of independent component analysis (ICA) method to the Raman spectra processing
SPIE Proceedings, 2005Independent component analysis (ICA) method was applied as a processing step for Raman spectra. 136 Raman spectra were acquired from urine samples from 18 subjects. Each spectrum was acquired from different sample. 785nm, 100mW (at sample) laser with 2048 element linear silicon TE cooled CCD were used.
So Hyun Chung +2 more
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Blind calibration of five-port receiver based on Independent Component Analysis (ICA)
2013 Wireless Telecommunications Symposium (WTS), 2013Five-port direct conversion receiver has been demonstrated as an interesting alternative for application in software-defined radio since its design is simple and it can operate in a wide range of frequencies. However, in order to carry out in-phase and quadrature demodulation, the five-port receiver must be calibrated for each frequency and modulation ...
Francisco Vidal +3 more
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International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, 2009
Machine condition monitoring plays an important role in industry to ensure the continuity of the process. This work presents a simple and yet, fast approach to detect simultaneous machinery faults using sound mixture emitted by machines. We developed a microphone array as the sensor.
B. T. Atmaja, D. Arifianto
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Machine condition monitoring plays an important role in industry to ensure the continuity of the process. This work presents a simple and yet, fast approach to detect simultaneous machinery faults using sound mixture emitted by machines. We developed a microphone array as the sensor.
B. T. Atmaja, D. Arifianto
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Independent components analysis with the JADE algorithm – Why ICA"
2014absent
Rutledge, Douglas +1 more
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Real- Time EEG Data Processing Using Independent Component Analysis (ICA)
2022 14th International Conference on Communications (COMM), 2022Leontin Tuta +3 more
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[Apply ICA (independent component analysis) to removing power noise from EEG].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2004Power noise is constantly found in EEG signals; thus the acquisition and analysis of EEG signals can be strongly influenced. Comparison of the efficiencies of four ICA algorithms (Fastica, Extended Infomax, EGLD, Pearson-ICA) and SVD methods in extracting power noise in the EEG signals showed that ICA algorithms appear insensitive to the noise ...
Yang, Gao, Baikun, Wan, Xin, Zhu
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Female erectile tissues and sexual dysfunction after pelvic radiotherapy: A scoping review
Ca-A Cancer Journal for Clinicians, 2022Deborah C Marshall, Mas +2 more
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