18376186. FAST CHANNEL EQUALIZATION IN COMMUNICATION CHANNELS USING MACHINE LEARNING TECHNIQUES (NVIDIA Corporation)
FAST CHANNEL EQUALIZATION IN COMMUNICATION CHANNELS USING MACHINE LEARNING TECHNIQUES
Organization Name
Inventor(s)
Mohammad Mobin of Saratoga CA US
Johan Jacob Mohr of Copenhagen DK
Thorkild Franck of Roskilde DK
FAST CHANNEL EQUALIZATION IN COMMUNICATION CHANNELS USING MACHINE LEARNING TECHNIQUES
This abstract first appeared for US patent application 18376186 titled 'FAST CHANNEL EQUALIZATION IN COMMUNICATION CHANNELS USING MACHINE LEARNING TECHNIQUES
Original Abstract Submitted
Disclosed are apparatuses, systems, and techniques for deploying and training machine learning models for fast and efficient equalization of signals transmitted over communication channels. In one embodiment, the techniques include processing, using first model(s), a digital representation of a received (RX), via a communication channel, signal to obtain channel loss metrics representative of a difference between the RX signal and a transmitted (TX) signal. The techniques further include obtaining a first set of equalization (EQ) parameter(s), and iteratively obtaining a second set of EQ parameter(s). The techniques further include configuring, using the second set of the EQ parameters, one or more EQ circuits to equalize at least one of the RX signal, the TX signal, or a channel signal.