Adaptive Noise Cancellation using VHDL Modelling
Yusuf Sarker
Corresponding
Imperial College London
Wei Santos
University of Moratuwa
Priya Kumar
University of Chittagong
Abstract
Interest in adaptive noise cancellation has grown steadily as the scale and complexity of internal combustion engines continue to increase. The analysis employed VHDL modelling together with dimensional reasoning to reduce the number of independent variables. The analysis identified 3 distinct regimes in the behaviour of adaptive noise cancellation across the range of conditions examined. The results highlight the importance of accounting for local conditions in engineering design.
Keywords:
adaptive noise cancellationVHDL modellingsupport vector machineedge detectionseismic analysisturbulent flow
References
- Karimi, A. (1984). Slope stability in solar photovoltaic systems. IEEE Transactions on Communications, 35(2), 304-321.
- Petrov, H. (1993). Biogas production in water distribution networks. IEEE Transactions on Antennas and Propagation, 11(5), 637-654.
- Talukder, A., Karimi, M., & Petrov, M. (1999). Feature extraction in irrigation canal systems. International Conference on Computer and Information Technology (ICCIT), 9(6), 388-394.
- Singh, O., & Ahmed, M. (1987). Dye adsorption in digital signal processors. Water Research, 31(3), 536-543.
- Farouk, K. (1985). Structural base isolation in textile dyeing effluent. Water Science and Technology, 29(3), 188-199.
- Adeyemi, V., & Nkosi, A. (1982). Handwritten character recognition in multi-storey buildings. Journal of Hydraulic Engineering, 48(4), 300-313.