首页|Study Results from Al-Farabi Kazakh National University Update Understanding of Machine Learning (Novel Filtering and Regeneration Technique With Statistical Fe ature Extraction and Machine Learning for Automatic Modulation Classification)
Study Results from Al-Farabi Kazakh National University Update Understanding of Machine Learning (Novel Filtering and Regeneration Technique With Statistical Fe ature Extraction and Machine Learning for Automatic Modulation Classification)
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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 reportingoriginating from Alma Ata, Kazakhsta n, by NewsRx correspondents, research stated, “Automatic modulationclassificati on (AMC) plays a crucial role in the stages of processing signals from unknown s ourcesand monitoring the airwaves. This paper presents an AMC method based on m achine learning (ML) usingconstellation diagrams, distribution test function an d high-order cumulants (HOCs) and novel filteringand regeneration technique.”
Alma AtaKazakhstanAsiaCyborgsEme rging TechnologiesMachine LearningAl-Farabi Kazakh National University
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