Ching-Yao Chou

Orcid: 0000-0002-7270-9567

According to our database1, Ching-Yao Chou authored at least 15 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Design and Implementation of an Intensive Care Unit Command Center for Medical Data Fusion.
Sensors, June, 2024

2021
A Tri-Mode Compressed Analytics Engine for Low-Power AF Detection With On-Demand EKG Reconstruction.
IEEE J. Solid State Circuits, 2021

2020
Accumulated Polar Feature-Based Deep Learning for Efficient and Lightweight Automatic Modulation Classification With Channel Compensation Mechanism.
IEEE Trans. Veh. Technol., 2020

Low-Complexity On-Demand Reconstruction for Compressively Sensed Problematic Signals.
IEEE Trans. Signal Process., 2020

Compressed-Domain ECG-Based Biometric User Identification Using Compressive Analysis.
Sensors, 2020

Accumulated Polar Feature based Deep Learning with Channel Compensation Mechanism for Efficient Automatic Modulation Classification under Time varying Channels.
CoRR, 2020

Low-Complexity Compressed Alignment-Aided Compressive Analysis for Real-Time Electrocardiography Telemonitoring.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Robust and Lightweight Ensemble Extreme Learning Machine Engine Based on Eigenspace Domain for Compressed Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Co-Design of Sparse Coding and Dictionary Learning for Real-Time Physiological Signals Monitoring.
Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019

Low-Complexity Compressive Analysis in Sub-Eigenspace for ECG Telemonitoring System.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Low-Complexity Privacy-Preserving Compressive Analysis Using Subspace-Based Dictionary for ECG Telemonitoring System.
IEEE Trans. Biomed. Circuits Syst., 2018

Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Variation-Aware Reliable Many-Core System Design by Exploiting Inherent Core Redundancy.
IEEE Trans. Very Large Scale Integr. Syst., 2017

Robust compressed analysis using subspace-based dictionary for ECG telemonitoring systems.
Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 2017

2015
Variation-aware core-level redundancy scheme for reliable DSP computation in multi-core systems.
Proceedings of the 2015 IEEE Workshop on Signal Processing Systems, 2015


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