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Using blind signal processing algorithms to remove wind noise from environmental noise assessments : a wind turbine amplitude modulation case study
Journal Article
Kendrick, P., von Hünerbein, S., & Cox, T. Using blind signal processing algorithms to remove wind noise from environmental noise assessments : a wind turbine amplitude modulation case study. ˜The œJournal of the Acoustical Society of America (Online), 138(3), 1731-1732. https://doi.org/10.1121/1.4933451

Microphone
wind noise can corrupt outdoor measurements and recordings. It is a particular problem for wind turbine
measurements because these cannot be carried out when the wind speed is low. Wind shields can be used, but often the sound level from... Read More about Using blind signal processing algorithms to remove wind noise from environmental noise assessments : a wind turbine amplitude modulation case study.

Automatic detection of microphone wind noise : maximising accuracy of amplitude modulation ratings
Presentation / Conference
von Hünerbein, S., Cox, T., Kendrick, P., & Bradley, S. Automatic detection of microphone wind noise : maximising accuracy of amplitude modulation ratings. Presented at Wind Turbine Sound 2016, Gdansk, Poland

Microphone wind noise can corrupt outdoor measurements and recordings. It is a particular problem for wind turbine measurements because these cannot be carried out when the wind speed is low. Wind shields can be used, but often the sound level from t... Read More about Automatic detection of microphone wind noise : maximising accuracy of amplitude modulation ratings.