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研發應用於下世代BeyondGigabit乙太網路傳收機之深度學習技術(IC設計)(1/3)
Shiue, Muh-Tian
(PI)
電機工程學系
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Keyphrases
Gigabit Ethernet Transceiver
100%
Tomlinson-Harashima Precoder
100%
Deep Learning Methods
100%
Signal Bandwidth
60%
Gigabit Ethernet
40%
Analog-digital Conversion
20%
Near-end Crosstalk
20%
Echo Cancellers
20%
Low-density Parity-check Codes
20%
Hybrid Circuits
20%
Twisted Pair
20%
10GBASE-T
20%
Adaptive Particle Swarm Optimization
20%
Digital-analog Conversion
20%
Continuous Signals
20%
Narrowband
20%
Operating Speed
20%
Data Signal
20%
Adaptive Hybrid
20%
Pulse Amplitude Modulation
20%
High Cost
20%
Data Transmission
20%
Error Propagation
20%
Multi-Gbps
20%
Transceiver
20%
Adaptive Equalizer
20%
Bandwidth Limitation
20%
RF Interference
20%
Ethernet
20%
Transceiver Design
20%
Analog Circuits
20%
Output Signal
20%
Digital Circuits
20%
Decision Feedback Equalizer
20%
Chip Implementation
20%
Deep Learning Applications
20%
Engineering
Precoders
100%
Gigabit Ethernet
100%
Transceiver
100%
Deep Learning Method
100%
Learning Technique
100%
Signal Bandwidth
60%
Pulse Amplitude Modulation
20%
Digital Circuits
20%
Equalizers
20%
Analog Circuit
20%
Data Signal
20%
Adaptive Hybrid
20%
Decision Feedback Equalizers
20%
Twisted Pair
20%
Output Signal
20%
Digital Conversion
20%
Analog Conversion
20%
Continuous Signal
20%
Crosstalk
20%
Operating Speed
20%
Particle Swarm Optimization
20%
Computer Science
Signal Bandwidth
100%
Gigabit Ethernet
100%
Deep Learning Technique
100%
Pulse Amplitude Modulation
33%
Analog Circuit
33%
Digital Conversion
33%
Adaptive Equalizer
33%
Continuous Signal
33%
Digital Circuit
33%
Operating Speed
33%
particle swarm optimization algorithm
33%