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The paper describes a simulated prototype system for Swaras recognition using Hidden Markov Models (HMM) and Neural Networks. The goal of the paper is to develop a robust, autonomous system that would eventually enable a person to practice music for swaras set by direct communication with the computer. The system will provide immediate feedback on whether(More)
The identification of the pharmacokinetic-pharmacodynamic propofol model from noisy measurement data is desirable, since it enables automatic open-and closed-loop drug delivery schemes to adapt to varying patient parameters. In order to investigate the influence of measurement noise on the performance of different nonlinear block-oriented identification(More)
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