A 2-D ECG compression algorithm based on wavelet transform and vector quantization
Section snippets
Xingyuan Wang received the B.S. degree in application physics and the M.S. degree in optics from Tianjin University, Tianjin, China, in 1987 and 1992, respectively, and the Ph.D. degree in computer software and application from Northeasten University, Shenyang, China, in 1999. He worked as a post-doctoral fellow in the Department of Automatization at Northeasten University, Shenyang, China, from 1999 to 2001. He is currently a Professor in Dalian University of Technology. His research interests
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2018, Ain Shams Engineering JournalCitation Excerpt :Results shows that proposed MVQ outperforms conventional VQ in mean square error (MSE) and reconstructed image quality [10]. Wang and Meng observed that image compression can also be performed with transformed vector quantization in which image to be quantized is transformed with discrete wavelet Transform (DWT) [11]. In the recent past soft computing techniques have developed in the fields of engineering and technological problems.
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Xingyuan Wang received the B.S. degree in application physics and the M.S. degree in optics from Tianjin University, Tianjin, China, in 1987 and 1992, respectively, and the Ph.D. degree in computer software and application from Northeasten University, Shenyang, China, in 1999. He worked as a post-doctoral fellow in the Department of Automatization at Northeasten University, Shenyang, China, from 1999 to 2001. He is currently a Professor in Dalian University of Technology. His research interests include biomedical information, computer graphics, image processing, and chaos control and synchronization.
Juan Meng received the B.S. degree in electrical engineering from Qufu Normal University, Qufu, China, in 2002, and the M.S. degree in communication engineering from Yanshan University, Qinhuangdao, China, in 2005. She is currently a Ph.D. candidate in Dalian University of Technology. Her research interests include digital signal and image processing, biomedical signal processing, and biomedical information.