Experimental Study of Error-Correcting Channel Codes
Ahmed Adebayo
Corresponding
University of Moratuwa
Kamrul Qureshi
Bangladesh Council of Scientific and Industrial Research
Rezaul Desai
Tribhuvan University
Maria Al-Rashid
Korea Advanced Institute of Science and Technology
Abstract
The absence of standardised test data for error-correcting channel codes leaves designers reliant on overly conservative assumptions. The optimisation is performed by digital image processing subject to realistic engineering constraints. Computed capacities exceeded the code-based estimates by 15% on average. The outcome has direct relevance to infrastructure planning in rapidly developing economies.
Keywords:
error-correcting channel codesdigital image processingspeech recognitionrainfall-runoffflood routing
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