Performance of parametric spectro-temporal analyzer (PASTA)

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Face Sketch Synthesis with Style Transfer using Pyramid Column Feature

1C Action / Pose / Biometric - paper no. 3

Removing Channel Estimation by Location-Only Based Deep Learning for RIS Aided Mobile Edge Computing

In this paper, we investigate a deep learning architecture for lightweight online implementation of a reconfigurable intelligent surface (RIS)-aided multi-user mobile edge computing (MEC) system, where the optimized performance can be achieved based on user equipment’s (UEs’) location-only information. Assuming that each UE is endowed with a limited energy budget, we aim at maximizing the total completed task-input bits (TCTB) of all UEs within a given time slot, through jointly optimizing the RIS reflecting coefficients, the receive beamforming vectors, and UEs’ energy partition strategies for local computing and computation offloading. Due to the coupled optimization variables, a three-step block coordinate descending (BCD) algorithm is first proposed to effectively solve the formulated TCTB maximization problem iteratively with guaranteed convergence. The location-only deep learning architecture is then constructed to emulate the proposed BCD optimization algorithm, through which the pilot channel estimation and feedback can be removed for online implementation with low complexity. The simulation results reveal a close match between the performance of the BCD optimization algorithm and the location-only data-driven architecture, all with superior performance to existing benchmarks

Face Sketch Synthesis with Style Transfer using Pyramid Column Feature

1C Action / Pose / Biometric - paper no. 3

Simultaneous demultiplexing of OTDM channels based on swept-pump fiber-optical parametric amplifier

Session - Quantum Information & Parametric Processing OM3B.2We experimentally demonstrate simultaneous demultiplexing of 80-Gb/s OTDM signal by transforming it into WDM idlers (spaced by 1.15 nm), based on a swept-pump fiber-optical parametric amplifier (FOPA), and 10-dB parametric gain is achieved. © 2012 OSApublished_or_final_versio

Quad-Wavelength Pulse Generation Based on Fiber Optical Parametric Oscillator with Equally Distributed Dispersion

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Coherent laser source for high frame-rate optical time-stretch microscopy at 1.0 μm

We demonstrate a coherent picosecond pulsed fiber laser for the high frame-rate optical time-stretch microscopy at 1.0 μm. The spectrum of a picosecond pulsed laser is commonly broadened before the time-stretch imaging, which however will degrade its stability and coherence. As a result, it is required to enhance the degraded signal-to-noise ratio by averaging, which would compromise the frame rate on the other hand. Instead of pursuing such kind of spectrum-broadened picosecond pulsed laser sources, we propose a pulse train extracted directly from an all-normal dispersion mode-locked fiber laser with a rectangle-shaped optical spectrum. It delivers stable and coherent performance for the serial time-encoded amplified microscopy at 1.0 μm. With this robust picosecond pulsed laser, real-time stain-free flow imaging with a frame rate of 26.25 MHz and a spatial resolution of <; 2 μm is demonstrated. Featured with the compact configuration and good coherence property, it is a promising picosecond pulsed fiber laser source for the ultrafast interferometric time-stretch microscopy at 1.0 μm.published_or_final_versio

Ultrafast and versatile spectroscopy by temporal Fourier transform

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