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/ EEM7111 - NOISE REMOVAL METHODS AND APPLICATIONS
Learning Outcomes Of the Course
ÖÇ1
Analyse different noise removal methods, select and apply algorithms appropriate to the characteristics of the signal and the application area.
ÖÇ2
To be able to perform noise decomposition on complex and multicomponent signals using time-frequency and statistical methods.
ÖÇ3
Develop noise removal applications using modern signal processing tools (MATLAB, Python, TensorFlow, etc.) and new methods and evaluate the effectiveness of these applications with quantitative methods.
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