Results 271 to 280 of about 265,367 (299)
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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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Digital Information and Communication Technology and Its Applications, 2012
K. Karande, S. Talbar, S. Inamdar
semanticscholar +1 more source
K. Karande, S. Talbar, S. Inamdar
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