Debi Prasad Das

Work place: Process Engineering and Instrumentation Cell, CSIR-Institute of Minerals and Materials Technology

E-mail: dpdasimmt@gmail.com

Website:

Research Interests: Image Compression, Image Manipulation, Image Processing, Process Control System, Analysis of Algorithms

Biography

Debi Prasad Das received the B.Sc. (Hons.) degree in physics from Utkal University, Bhubaneswar, India, in 1996, the M.Sc. degree in electronics from Sambalpur University, Burla, India, in 1998, and the Ph.D. degree in electronics and instrumentation engineering from the National Institute of Technology (NIT), Rourkela, India, in 2004.

From 2003 to 2004, he was an Assistant Professor and the Head of the Department of Electronics, Silicon Institute of Technology, Bhubaneswar. From 2004 to 2005, he was a Postdoctoral Research Associate with the Indian Institute of Technology, Kharagpur, India. In April 2005, he joined the Central Electronics Engineering Research Institute, Pilani, India, as a Scientist. After working there for three years, he was transferred to the Process Engineering and Instrumentation Cell, Institute of Minerals and Materials Technology, Bhubaneswar, a constituent laboratory of the Council of Scientific and Industrial Research (CSIR) India, where he has been a Scientist since May 2008. He is also holdig an honorary position of Assistant Professor of AcSIR in the faculty of Engineering Sciences from April 2014. During 2010-2011 he visited the University of Adelaide, Australia for postdoctoral research in the area of active noise control. His research interests include active noise control, EEG signal processing, adaptive signal processing, computationally efficient and hardware-suitable algorithms, microcontroller-based system development, image processing for the mineral industry, instrumentation and plasma spectroscopy.

Dr. Das was the recipient of the Orissa Young Scientists Award (2004) by Govt. of Orissa, India, CSIR Young Scientist Award (2009), by CSIR, India and BOYSCAST Fellowship (2009-10) by DST, Govt. of India.

Author Articles
Adaptive Inverse Model of Nonlinear Systems

By Prachee Patnaik Debi Prasad Das Santosh Kumar Mishra

DOI: https://doi.org/10.5815/ijisa.2015.05.06, Pub. Date: 8 Apr. 2015

This paper proposes nonlinear adaptive filter-bank (NAFB) based algorithm for inverse modeling of nonlinear systems. Inverse modeling has been an important component for sensor linearization, adaptive control, channel equalization in communication system and active noise control. Under practical situations, the plant/system behaves nonlinearly which can be modeled as both parallel and cascaded structures of linear and nonlinear transfer functions. These linear and nonlinear transfer functions can be either static or dynamic, time variant or time invariant. The proposed NAFB algorithms are applied to generate the inverse model of different types of nonlinear systems and their convergence performances are evaluated. These nonlinear inverse models can be suitably applied to many engineering applications.

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