CONVOLUTIONAL NEURAL NETWORKS BASED COMPUTATIONALLY EFFICIENT METHOD FOR EQUALIZATION IN FBMC-OQAM SYSTEM

Patent №

US 11,368,349

Granted

2022-06-21

Filed 2021

Owner

KING ABDULAZIZ UNIVERSITY

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17526619

A filter bank multi-carrier (FBMC)-offset quadrature amplitude modulation (OQAM) system is disclosed. The FBMC-OQAM system includes a processing circuitry which is configured to receive a signal over a transmission medium, equalize the signal by a convolution neural network (CNN) equalizer, wherein the CNN equalizer is configured to estimate the received signal without performing channel estimation, and output the estimated signal as a bit stream.

Machine learningAI hardwareH04L 27/26416H04L 27/2698G06N 3/02G06N 3/045G06N 3/0464G06N 3/09H04L 25/03165H04L 27/01+3 more

AI classification

Machine learning1.00
AI hardware1.00
Natural language0.01
Speech0.00
Vision0.00
Evolutionary computation0.00
Planning0.00
Knowledge representation0.00

Ownership

KING ABDULAZIZ UNIVERSITY

assignment · 581150650

Assignors

MOINUDDIN, MUHAMMAD, AL-SAGGAF, UBAID M., ALSAGGAF, ABDULRAHMAN U., KHAN, SHUJAAT, RIZVI, SYED SAJJAD HUSSAIN

On an employer assignment, the assignors are typically the inventors.

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