8 citations · 37 across the 15 of their papers we have counts for
7 papers · 1 filter
Millimeter-Scale Ultra-Low-Power Imaging System for Intelligent Edge Monitoring
Andrea Bejarano-Carbo, Hyochan An, Kyojin Choo +5
Millimeter-scale embedded sensing systems have unique advantages over larger devices as they are able to capture, analyze, store, and transmit data at the source while being unobtr…
Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control
Mingyu Yang, Hun-Seok Kim
We present a novel adaptive deep joint source-channel coding (JSCC) scheme for wireless image transmission. The proposed scheme supports multiple rates using a single deep neural n…
Unified Signal Compression Using a GAN with Iterative Latent Representation Optimization
Bowen Liu, Changwoo Lee, Ang Cao +1
We propose a unified signal compression framework that uses a generative adversarial network (GAN) to compress heterogeneous signals. The compressed signal is represented as a late…
OFDM-guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels
Mingyu Yang, Chenghong Bian, Hun-Seok Kim
We investigate joint source channel coding (JSCC) for wireless image transmission over multipath fading channels. Inspired by recent works on deep learning based JSCC and model-bas…
Deep Joint Source Channel Coding for WirelessImage Transmission with OFDM
Mingyu Yang, Chenghong Bian, Hun-Seok Kim
We present a deep learning based joint source channel coding (JSCC) scheme for wireless image transmission over multipath fading channels with non-linear signal clipping. The propo…
Migrating Monarch Butterfly Localization Using Multi-Sensor Fusion Neural Networks
Mingyu Yang, Roger Hsiao, Gordy Carichner +6
Details of Monarch butterfly migration from the U.S. to Mexico remain a mystery due to lack of a proper localization technology to accurately localize and track butterfly migration…
Unified Signal Compression Using Generative Adversarial Networks
Bowen Liu, Ang Cao, Hun-seok Kim
We propose a unified compression framework that uses generative adversarial networks (GAN) to compress image and speech signals. The compressed signal is represented by a latent ve…