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Deep task-based quantization
Nir Shlezinger
, Yonina C. Eldar
Department of Electrical & Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
55
Scopus citations
Overview
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Dive into the research topics of 'Deep task-based quantization'. Together they form a unique fingerprint.
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Keyphrases
Task-based Quantization
100%
Analog Signal
100%
Scalar
66%
Statistical Model
66%
Full Knowledge
66%
Analog-to-digital Converter
66%
Deep Learning
33%
Multiple-input multiple-output Communications
33%
Multiple-input multiple-output Channels
33%
Channel Estimation
33%
Performance Limits
33%
Optimal Performance
33%
Task-oriented
33%
Number of Bits
33%
Communication Receiver
33%
Digital Signal Processing System
33%
Vector Quantizer
33%
Symbol Detection
33%
Detection Scenario
33%
Deep Learning System
33%
Rate-distortion Theory
33%
Quantized Signals
33%
Quantization Rule
33%
Proper Quantization Rule
33%
Hybrid Quantization
33%
Multiple-input multiple-output
33%
Computer Science
MIMO Systems
100%
Analog Signal
100%
Analog-to-Digital Converter
66%
Deep Learning Method
66%
Statistical Model
66%
Channel Estimation
33%
Optimal Performance
33%
Digital Signal Processing System
33%
Vector Quantizer
33%
Target Application
33%
Quantized Signal
33%
Rate Distortion Theory
33%