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Ramanujan Periodic Transform (RPT) is the newly emerging transform to identify periodicities in the given data. RPT represents the given finite length sequence into a weighted linear combination of signals from Ramanujan subspaces. RPT has the inability of handling the frequency components with in the Ramanujan subspace. This is due to the basis function (Ramanujan sum) used in RPT. To overcome this,...
Ramanujan Periodic Transform (RPT) is a newly emerging transformation technique in the field of signal processing. It uses an integer bases (obtained from Ramanujan sum) for transformation. A recorded ECG signal often contains artifacts (bioelectric signals) namely, baseline wander, muscle artifacts (EMG-Electromyogram), motion artifacts, powerline interference (PLI) and its harmonics. With certain...
The focus of this study is on the design of feedback control laws for swarms of robots that are based on models from fluid dynamics. We apply an incompressible fluid model to solve a pattern generation task. Possible applications of an efficient solution to this task are surveillance and the cordoning off of hazardous areas. More specifically, we use the smoothed-particle hydrodynamics (SPH) technique...
We propose a novel algorithm for tracking multiple sinusoidal signals that is motivated by neural coding in the mammalian peripheral auditory system. A striking feature of auditory nerve activity is the phenomenon of “synchrony capture,” whereby the most intense frequency components in the stimulus dominate the temporal firing patterns of whole subpopulations of auditory nerve fibers (ANFs). A novel...
In this paper electric power generation from wind is achieved by directly coupling wind turbine to a squirrel cage induction generator without gear box. A matrix converter (MC) is used as an interface between the grid and the generator for direct to grid power injection. For the control of the induction generator voltage and frequency, a cosinusoidal modulation technique for switching of matrix converter...
This work addresses the problem of identifying multiple fundamental frequencies in an acoustic signal. An auditory-inspired peripheral signal processing model is proposed that functions in a manner more like a bank of FM receivers rather than a traditional filterbank. Such receivers lock on to a strong signal (synchrony capture, frequency capture) even in the presence of nearby only slightly weaker...
This paper briefly presents the details of the design of a K-Ka band, 40 W CW, millimeter-wave helix TWT. Sub-system level design and TWT development issues are also presented.
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