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Implementation Of Prediction Algorithms To Reduce Latency In Control Of Switching Converters, Brent Bell
Implementation Of Prediction Algorithms To Reduce Latency In Control Of Switching Converters, Brent Bell
Electrical Engineering Undergraduate Honors Theses
Using pulse-width modulation (PWM) to control switching converters such as a dual active bridge introduces latency into a system [1]. Latency in a switching converter decreases the effective bandwidth that the converter can be switched at and for the case of a closed loop control system decreases the effective closed loop system stability. This delay can be attributed to sampling of the control signal and calculation time for the PWM. If a prediction scheme is implemented in this calculation, the next switching time could be predicted to remove any latency. There are effectively two steps in order to achieve this …
An Expressive Vocal Midi Controller, Brady Hurlburt
An Expressive Vocal Midi Controller, Brady Hurlburt
Electrical Engineering Undergraduate Honors Theses
The choice of controller often characterizes the performance obtained from an electronic instrument. Controllers exist that allow electronic musicians to mimic the expressive qualities of keyboard, wind, string, and percussion instruments, but vocalists have been largely neglected. To fill this need, a realtime software vocal MIDI controller named Grove is developed and demonstrated. Grove's pitch and time analyses are shown to be accurate, and it has mappable control signals that go beyond the capabilities of previous audio-to-MIDI converters to facilitate an expressive performance. Grove's source code is available under the GNU GPL v3 license.