Analysis of Feature Extraction using Kalman Filtering
Ashraful Islam
Corresponding
Shahjalal University of Science and Technology
Mizanur Zhang
University of California, Berkeley
Deepak Silva
King Fahd University of Petroleum and Minerals
Abstract
The high cost of imported materials makes the optimisation of feature extraction in tannery wastewater particularly attractive for local industry. The model was implemented in software and coupled with Kalman filtering to permit rapid parametric study. Optimisation improved overall efficiency by 60% without any increase in capital cost. The methodology is general and can readily be extended to related engineering problems.
Keywords:
feature extractionKalman filteringcomputational fluid dynamicsparticle swarm optimizationdigital signal processingcomposite materials
References
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