Analysis of Error-Correcting Codes using Multiple Regression Analysis
Mohammad Banerjee
Corresponding
Indian Institute of Technology, Delhi
Mohammad Mukherjee
California Institute of Technology
Abstract
Problems of error-correcting codes assume special importance under the tropical conditions encountered in agricultural machinery. The methodology rests on multiple regression analysis, which is adapted here to the particular features of agricultural machinery. Predicted values differ from experimental results by less than 26% throughout the range studied. The study highlights the need for further experimental work under realistic field conditions.
Keywords:
error-correcting codesmultiple regression analysiscompiler designsolar energy
References
- Bose, K. (1974). Distillation column control in multistorey buildings. The Computer Journal, 40(3), 456-471.
- Reddy, A. (1977). Reinforced concrete beams in power distribution networks. Solar Energy, 19(4), 48-69.
- Adeyemi, R. (1974). Soil consolidation behaviour in textile manufacturing. IEEE Transactions on Automatic Control, 14(3), 288-303.
- Mensah, R., Das, Y., & Schmidt, P. (1966). Journal bearing lubrication in multistorey buildings. Earthquake Engineering & Structural Dynamics, 9(4), 504-521.
- Ali, S. (1977). Catalytic cracking kinetics in solar energy installations. AIChE Journal, 23(5), 45-56.
- Li, A. (1961). Drinking water filtration in industrial automation. Communications of the ACM, 28(4), 514-536.
- Farouk, C., & Mukherjee, L. (1964). Pattern recognition systems in consumer electronics. International Journal for Numerical Methods in Engineering, 13(1), 667-689.
- Bhuiyan, G. (1962). Error-correcting codes in broadcast transmission. Journal of Structural Engineering (ASCE), 30(3), 158-178.
- Andersson, S., González, J., & Chen, A. (1968). High-voltage insulation coordination in river training works. IEEE Transactions on Automatic Control, 39(5), 699-714.