163 citations · 254 across the 7 of their papers we have counts for
7 papers
A system-on-chip microwave photonic processor solves dynamic RF interference in real time with picosecond latency
Weipeng Zhang, Joshua C. Lederman, Thomas Ferreira de Lima +6
Radio-frequency interference is a growing concern as wireless technology advances, with potentially life-threatening consequences like interference between radar altimeters and 5G…
Real-Time Blind Photonic Interference Cancellation for mmWave MIMO
Joshua C. Lederman, Weipeng Zhang, Thomas Ferreira de Lima +4
Multiple-input multiple-output (MIMO) mmWave devices broadcast multiple spatially-separated data streams simultaneously in order to increase data transfer rates. Data transfer can,…
Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation
Weipeng Zhang, Alexander Tait, Chaoran Huang +6
The expansion of telecommunications incurs increasingly severe crosstalk and interference, and a physical layer cognitive method, called blind source separation (BSS), can effectiv…
Design Automation of Photonic Resonator Weights
Thomas Ferreira de Lima, Eli A. Doris, Simon Bilodeau +8
Neuromorphic photonic processors based on resonator weight banks are an emerging candidate technology for enabling modern artificial intelligence (AI) in high speed, analog systems…
Sub-Nyquist Sampling with Optical Pulses for Photonic Blind Source Separation
Taichu Shi, Yang Qi, Weipeng Zhang +2
We proposed and demonstrated an optical pulse sampling method for photonic blind source separation. It can separate large bandwidth of mixed signals by small sampling frequency, wh…
Wideband photonic blind source separation with optical pulse sampling
Taichu Shi, Yang Qi, Weipeng Zhang +3
We propose and experimentally demonstrate an optical pulse sampling method for photonic blind source separation. The photonic system processes and separates wideband signals based…
Silicon microring synapses enable photonic deep learning beyond 9-bit precision
Weipeng Zhang, Chaoran Huang, Hsuan-Tung Peng +6
Deep neural networks (DNN) consist of layers of neurons interconnected by synaptic weights. A high bit-precision in weights is generally required to guarantee high accuracy in many…