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lush_d3m1s3Alright, time to talk shop
The project i chose for graduation is all about drone noise control, I'm trying to find the best way to eliminate propeller noise through wave superposition principle where a well placed array of speakers produces an out of phase sound wave corresponding to the movement the drone is doing, the way I'm thinking of tackling the latency issue when timing the audio output is to have a trained ml model which can produce a clear relationship between the motor variables and the sound produced by the propellers which can consequently guide our tuning of the audio player program
update, the project got delayed for a while thanks to my fighting for my fighting for staying in the uni by earning a ton of credits from useless info. gonna get back on it these next few weeks and hopefully get the ML model finished asap, gathered some resources i found to be useful, mainly prof. Steve Brunton's YouTube channel as well as his and prof Nathan Kutz's book and accompanying online resources included in the UoW ocw, good stuff. Long live the open source web!
https://faculty.washington.edu/kutz/page5/page23/
https://databookuw.com/
Y'all wish me luck!!
P.S. Gonna worry about the mathematical formulas later, now it's time to code up a storm ...ish lol
The project i chose for graduation is all about drone noise control, I'm trying to find the best way to eliminate propeller noise through wave superposition principle where a well placed array of speakers produces an out of phase sound wave corresponding to the movement the drone is doing, the way I'm thinking of tackling the latency issue when timing the audio output is to have a trained ml model which can produce a clear relationship between the motor variables and the sound produced by the propellers which can consequently guide our tuning of the audio player program
update, the project got delayed for a while thanks to my fighting for my fighting for staying in the uni by earning a ton of credits from useless info. gonna get back on it these next few weeks and hopefully get the ML model finished asap, gathered some resources i found to be useful, mainly prof. Steve Brunton's YouTube channel as well as his and prof Nathan Kutz's book and accompanying online resources included in the UoW ocw, good stuff. Long live the open source web!
https://faculty.washington.edu/kutz/page5/page23/
https://databookuw.com/
Y'all wish me luck!!
P.S. Gonna worry about the mathematical formulas later, now it's time to code up a storm ...ish lol