Work place: Department of Applied Physics, Electronics and Communication Engineering, Islamic University, Kushtia-7003, Bangladesh
E-mail: msa@aece.iu.ac.bd
Website:
Research Interests: Wireless Networks, , Signal Processing, Image Compression, Image Manipulation, Network Architecture, Image Processing, Combinatorial Optimization, Network Engineering
Biography
Md Shahjahan Ali received PhD in Engineering and Technology from University of Dhaka, Bangladesh in 2011. He received M.Sc. and B.Sc. (Hons) in Applied Physics and Electronics from Rajshahi University, Bangladesh. Dr Ali has 15 years of teaching experience in undergraduate and postgraduate levels. Also he guides research scholars in graduate final and postgraduate projects. Currently he is working as Associate Professor. His research interest includes satellite image processing (SIP) for energy and environment, simulation of optical and infrared remote sensing data and retrieval of atmospheric and surface parameters from multispectral and hyperspectral remote sensing data.
By Md Salim Raza Md. Imran Hossain Md. Khalid Hossain Jewel Md Shahjahan Ali
DOI: https://doi.org/10.5815/ijwmt.2015.01.03, Pub. Date: 8 Mar. 2015
Researches in the reduction of peak-to-average power ratio (PAPR) from orthogonal frequency division multiplexing (OFDM) output signals are being done using many techniques. Selected mapping (SLM) technique is a distortion-less technique and is a well known method to reduce high PAPR of OFDM signal. One drawback of SLM is its requirement of side information bits to recover original data block at the receiver side which lead rate of data loss. In this paper, we have proposed a sequential phase sequence SLM (SPS-SLM) based OFDM transceiver without side information and studied its performance. For the proposed method, a specific set of phase sequences is designed. MATLAB simulation shows that the proposed scheme performs well in terms of PAPR. Proposed method provides almost the same PAPR reduction performance compared to the conventional SLM method requiring side information.
[...] Read more.DOI: https://doi.org/10.5815/ijitcs.2013.04.02, Pub. Date: 8 Mar. 2013
This study investigates the potential of determining atmospheric transmissivity (τ) from NOAA-AVHRR satellite images using a simple methodology. Using this method, hourly transmissivity values over the land surface area of Bangladesh has been determined. The spatio-temporal distribution of τ has been studied by constructing monthly average maps for the whole country for one complete year (February 2005 to January 2006). Yearly average map has been prepared by integrating monthly average maps. Geographical distribution of τ exhibits patterns and trends. It is observed that the value of τ varies from 0.3 to 0.65 with the average maximum value in the month of April and minimum value in the month of November. It is also observed that for western parts of the country, which is the drought prone area, transmissivity values are little bit higher than that at the eastern parts. Relatively lower values of τ in the dry months (November to January) may be due to the effect of particulate or chemical pollution in the atmosphere.
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