首页|Reports on Machine Learning Findings from National University of Singapore Provi de New Insights (Machine Learning-aided Sparse Direction of Arrival Estimation)
Reports on Machine Learning Findings from National University of Singapore Provi de New Insights (Machine Learning-aided Sparse Direction of Arrival Estimation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of Singapore, Singapore, by News Rx editors, research stated, “This article introduces a design andmethod to add ress the challenge of decreased accuracy in direction-of-arrival (DOA) estimatio n whenutilizing planar sparse arrays with closely spaced sensors. It proposes a design leveraging Koch fractalgeometry, which effectively reduces mutual coupl ing and enhances the detection of a greater number ofsources compared with the number of sensors in the array.”
SingaporeSingaporeAsiaCyborgsEme rging TechnologiesMachine LearningNational University of Singapore
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