An LMI based criterion for the nonexistence of overflow oscillations in fixed-point state-space digital filters using saturation arithmetic
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Haranath Kar received the B.E. degree from Bengal Engineering College in 1989, the M.Tech. degree from Banaras Hindu University, Varanasi, India, in 1992, and the Ph.D. degree from the University of Allahabad, Allahabad, India, in 2000. After spending a brief period at the Defense Research and Development Organization as a Scientist B, he joined Motilal Nehru National Institute of Technology (formerly known as M.N.R. Engineering College), Allahabad, as a Lecturer in 1991, and became an
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2018, Signal ProcessingCitation Excerpt :Furthermore, a condition for asymptotic stability is established for the system under consideration in the absence of external disturbances, and by emphasizing the augmented Lyapunov function [35], an asymptotic stability condition is achieved globally in the absence of external disturbances. The present approach utilizes the so-called passivity property [12,36–38] (consisting of the structural properties of several overflow nonlinearities) in a detailed manner rather than merely using it for sector information. The organization of the present work is summarized as follows.
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Haranath Kar received the B.E. degree from Bengal Engineering College in 1989, the M.Tech. degree from Banaras Hindu University, Varanasi, India, in 1992, and the Ph.D. degree from the University of Allahabad, Allahabad, India, in 2000. After spending a brief period at the Defense Research and Development Organization as a Scientist B, he joined Motilal Nehru National Institute of Technology (formerly known as M.N.R. Engineering College), Allahabad, as a Lecturer in 1991, and became an Assistant Professor in 2001. He was an Assistant Professor at Atilim University, Ankara, Turkey, from February 2002 to January 2004. His current research interests are digital signal processing, nonlinear systems, robust stability, and multidimensional systems. He was a recipient of the 2002–2003 IEE Heaviside Premium Award.