Abstract
Blind source extraction (BSE) is widely used to solve signal mixture problems where there are only a few desired signals. To improve signal extraction performance and expand its application, we develop an adaptive BSE algorithm with an additive noise model. We first present an improved normalized kurtosis as an objective function, which caters for the effect of noise. By combining the objective function and Lagrange multiplier method, we further propose a robust algorithm that can extract the desired signal as the first output signal. Simulations on both synthetic and real biomedical signals demonstrate that such combination improves the extraction performance and has better robustness to the estimation error of normalized kurtosis value in the presence of noise.
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Yongjian Zhao received his BEng degree from East China University of Science and Technology, China, in 1991, and his MSc degree in Computer Science from Shandong University, China, in 2003. He is currently a PhD candidate in the Department of Biomedical Engineering, Shandong University, China. He is also an associate professor of Department of Computer Science, Shandong University at Weihai, China. He is author or coauthor of 16 research publications in refereed journals, conference proceedings, and books. His research interests include biomedical signal processing, blind source separation, and pattern recognition.
Boqiang Liu received his PhD in Biomedical Engineering from Tianjin University, China, in 2005. Now he is a professor and PhD supervisor at Shandong University. His current research interests include biomedical signal processing, image processing, and pattern recognition.
Sen Wang received his PhD in Computer Science from Stony Brook University, New York, USA in 2008. He currently is a senior research scientist in Kodak Research Laboratories, Eastman Kodak Company. His main interests are computer vision, computer graphics, stereo/3D imaging, biometrics, image/video processing and human computer interaction. He has more than 20 research papers and 30 patent applications in the above areas.
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Zhao, Y., Liu, B. & Wang, S. A robust extraction algorithm for biomedical signals from noisy mixtures. Front. Comput. Sci. China 5, 387–394 (2011). https://doi.org/10.1007/s11704-011-1043-5
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DOI: https://doi.org/10.1007/s11704-011-1043-5