We introduce a user-centric residual-echo suppression (URES) framework in double-talk.
This framework receives a user operating point (UOP) that consists of two metric values: the …

We propose and theoretically investigate integrated photonic filters based on two coupled
Sagnac loop reflectors (SLRs) formed by a self-coupled optical waveguide. Recently we …

We experimentally demonstrate bandwidth-tunable RF photonic Hilbert transformer based
on an integrated Kerr micro-comb source. The micro-comb is generated by an integrated …

Artificial neural networks (ANNs) can extract the hierarchical features of raw data and are of
significant interest for machine learning tasks such as computer vision, speech recognition …

Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a
powerful category of artificial neural networks that can extract the hierarchical features of raw …

We experimentally demonstrate bandwidth-tunable RF photonic Hilbert transformer based
on an integrated Kerr microcomb source. The micro-comb is generated by an integrated …

We report a significant experimental improvement in the performance of all-optical photonic
chips that feature ring resonators and nanowires, through the integration of 2D GO …

We present and investigate theoretically photonic integrated filters based on 2 Sagnac
coupled loop reflectors (SLRs) that are arranged in a self-coupled optical waveguide. We …

We report enhanced nonlinear optics in nanowires, waveguides, and ring resonators by
introducing layered two-dimensional (2D) graphene oxide (GO) films through experimental …

We propose and theoretically investigate integrated photonic filters based on two coupled
Sagnac loop reflectors (SLRs) formed by a self-coupled optical waveguide. Recently we …