@inproceedings{52de73dd73d04456a7621090298a5bd0,
title = "Broadband Radio-Frequency Signal Processing with Neuromorphic Photonics",
abstract = "Microwave photonics and neuromorphic photonics are two parallel research areas which have simultaneously emerged at the forefront of next generation processors. These fields, while initially independent, are naturally converging to a combined silicon photonic platform. An optical processing approach yields wide bandwidth, low latency, and dense interconnection. These photonic systems are capable of supporting applications previously unfeasible. Systems such as photonic cancellers, photonic blind source separation, photonic recurrent neural networks for RF fingerprinting, and photonic neural networks for nonlinear dispersion compensation. This paper will focus on the convergence of microwave photonics and neuromorphic photonics towards an RF optimized machine learning solution. Additionally, this paper investigated the RF noise performance of neuromorphic photonic front-end. The results indicated poor RF performances, leading to the proposal of a balanced linear front-end for noise figure reduction.",
keywords = "Balanced Weight Bank, Microwave Photonics, Neuromorphic Photonics, Noise Analysis",
author = "Blow, {Eric C.} and {de Lima}, {Thomas Ferreira} and Peng, {Hsuan Tung} and Weipeng Zhang and Chaoran Huang and Shastri, {Bhavin J.} and Prucnal, {Paul R.}",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE; AI and Optical Data Sciences III 2022 ; Conference date: 20-02-2022 Through 24-02-2022",
year = "2022",
doi = "10.1117/12.2614131",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Bahram Jalali and Ken-ichi Kitayama",
booktitle = "AI and Optical Data Sciences III",
address = "United States",
}