Search Results - david+matolak

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Methods for Non-linear Distortion Immune End-to-End Learning with Autoencoder-OFDM

Reference #: 01441 The University of South Carolina is offering licensing opportunities for Methods for Non-linear Distortion Immune End-to-End Learning with Autoencoder-OFDM1 Background: AI-based communication systems utilize machine learning modules (e.g., deep learning) to replace the functionality of the highly engineered blocks (e.g., coding,...

Published: 9/4/2022 | Inventor(s): David Matolak, Alphan Sahin

Keywords(s): Autoencoder, Complementary sequences, machine learning, OFDM, PAPR

Category(s): Engineering and Physical Sciences, Software and Computing

Methods for Reliable Chirp Transmissions

Reference #: 01439 The University of South Carolina is offering licensing opportunities for Methods for Reliable Chirp Transmissions and Multiplexing Background: To increase the reliability and security of communication systems the communication link must be established over multiple bands, e.g., L-Band (1-2 GHz) and C-Band (4-8 GHz) for aeronautical...

Published: 9/4/2022 | Inventor(s): David Matolak, Alphan Sahin, Nozhan Hosseini

Keywords(s): coded orthogonal chirp division multiplexing, Complementary sequence-based chirp spread spectrum, shift encoders, trajectory encoding with multi-DFT clusters

Category(s): Engineering and Physical Sciences

Dual-Polarization FBMC Wireless Communication System

Reference #: 01316The University of South Carolina is offering licensing opportunities for a Dual-Polarization FBMC Wireless Communication System.Background:Orthogonal frequency-division multiplexing (OFDM) with cyclic prefix (CP) is today’s most widely-used multicarrier communication system due to its simplicity and robustness against frequency-selective...

Published: 1/23/2020 | Inventor(s): Hosseinali Jamal, David Matolak

Keywords(s):

Category(s): Engineering and Physical Sciences