Shaik Rafi Ahamed Dr. Shaik Rafi Ahamed
Ph. D. (IIT Kharagpur, India)

Assistant Professor
Department of Electronics and Electrical Engineering

S. R. Ahamed joined the institute in April 2008.

HOMEPAGE


Contact Information

Office Address: Room No.#304, ECE Department, IIT Guwahati, Guwahati - 781039.
Phone: +91-361-258-2520 (O)
Fax: +91-361-2582542, 2690762

Email: rafiahamediitg.ernet.in

Research Areas
Adaptive Signal Processing, VLSI Signal Processing, Biomedical Signal Processing, Mobile Communications.


Awards/Honours
Reviewer, IEEE Transactions on Circuits and Systems II.


Book

Shaik Rafi Ahamed, M. Chakraborty, “Low Complexity Adaptive Equalization: A Block Floating Point based approach“ published by VDM Verlag Dr. Muller, Germany, Sept. 2009.

Book Chapter
M. Z. U. Rahman, S. R. Ahamed and D. V. R. K. Reddy, “ Cancellation of Artifacts in the ECG signals using Block adaptive filtering techniques”, Research book entitled “ Software Tools and Algorithms for Biological Systems” published by Springer, November 2010. ( In Press)

Selected Publications

  • M. Z. U. Rahman, S. R. Ahamed and D. V. R. K. Reddy , “ Efficient sign based normalized adaptive filtering techniques for cancelation of artifacts in ECG signals : Application to wireless biotelemetry “, Signal Processing, doi:10.1016/j.sigpro.2010.07.002, July, 2010.

  • M. Z. U. Rahman, S. R. Ahamed and D. V. R. K. Reddy, “Noise Cancellation in ECG Signals using Computationally Simplified Adaptive Filtering Techniques: Application to Biotelemetry”, Signal Processing: An International Journal, CSC Journals, ISSN 1985-2312, Volume 3, Issue 5, pp. 1-12, November 2009.

  • M. Z. U. Rahman, S. R. Ahamed , D. V. R. K. Reddy and Ibrahim Khan, “ Filtering Electrocardiographic Signals using Normalized adaptive filtering Techniques”, International Journal of Emerging Technologies and applications in Engineering, Technology and Sciences, ISSN-0974-3588, Volume-3, Issue 1, pp. 545-549, January 2010.

  • Mrityunjoy Chakraborty, Rafiahamed Shaik and Moon Ho Lee "A Block Floating Point Based Realization of the Block LMS Algorithm, “ IEEE Trans. Circuits and Systems II, Vol. 53, No. 9, pp. 812-816, Sept 2006.

  • Mrityunjoy Chakraborty, Rafiahamed Shaik and Moon Ho Lee "An Efficient Implementation of The Sign LMS Algorithm using Block Floating Point Format, “ EURASIP Journal on Advances In Signal Processing, Vol. 2007.