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1. Machine Learning for PAPR Distortion Reduction in OFDM Systems
Master-uppsats, KTH/SignalbehandlingSammanfattning : The purpose of the project is to investigate the possibility of using modern machine learning to model nonlinear analog devices like the Power Amplifier (PA), and study the feasibility of using such models in wireless systems design. Orthogonal frequency division multiplexing (OFDM) is one of the most prominent modulation technique used in several standards like 802. LÄS MER
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