Proceeding of International Conference on MATLAB APPLICATIONS IN ENGINEERIN AND TECHNOLOGY

ISBN 978-93-81693-12-4 Back

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Editors

Prof. Srikanta Patnaik, Mentor, IRNet India

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About Conference

MATLAB is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numerical computation. In recent years, many scientist and engineers use MATLAB to solve their technical computing problems which is of course faster than with traditional programming languages, such as C, C++, and Fortran. Secondly, one can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. This is the first international conference is being organized by Interscience Research Network (IRNet) in order to encourage our researchers who are conducting the research and bringing out the result using MATLAB. We encourage submitting papers which are from following areas: Application Areas of MATLAB  Computer Science and Engineering  Information Technology  Electrical Engineering  Electrical and Electronics Engineering  Electronics and Communication Technology  Mechanical Engineering  Civil Engineering  Bio-informatics and Bio Technology The specific topics which are included but not limited to are as follows: ¤ Communications Systems ¤ Computational Biology ¤Computational Finance ¤ Control Systems ¤ Digital Signal Processing ¤ Embedded Systems ¤ FPGA Design ¤ Image and Video Processing ¤ Mechatronics ¤ Technical Computing ¤ Test and Measurement ¤ Parallel Computing ¤Math, Statistics, and Optimization ¤ Control System Design and Analysis ¤ Signal Processing and Communications ¤ Image Processing and Computer Vision ¤ Test & Measurement ¤ Computational Finance ¤ Computational Biology ¤ Application Deployment ¤ Code Generation ¤ Database Connectivity and Reporting ¤ Automotive Applications ¤ Financial Applications ¤ Aerospace Applications ¤ Portfolio Optimization ¤ Optimization Techniques ¤ Data Processing and Visualization ¤ Control Design Acceleration