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Integer-Forcing Source Coding
Or Ordentlich
*
,
Uri Erez
*
Corresponding author for this work
School of Electrical Engineering
Massachusetts Institute of Technology
Research output
:
Contribution to journal
›
Article
›
peer-review
27
Scopus citations
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Dive into the research topics of 'Integer-Forcing Source Coding'. Together they form a unique fingerprint.
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Keyphrases
Source Code
100%
Integer-forcing
100%
Linear Combination
60%
Encoder
40%
Quantized Signals
40%
Minimum Mean Square Error
20%
Design Principles
20%
Compression Rate
20%
Multiple-input multiple-output Channels
20%
Decoder
20%
Sampled Signals
20%
Spatial Correlation
20%
Codebook
20%
Distortion Measure
20%
Mean-squared Error Distortion
20%
Original Signals
20%
Nested Lattices
20%
Correlated Gaussian Sources
20%
Full Rank
20%
Analog-to-digital Converter
20%
Average Power
20%
Low-complexity Scheme
20%
Distributed Compression
20%
Compute-and-forward
20%
Engineering
Linear Combination
100%
Gaussians
66%
Quantized Signal
66%
Mean-Squared-Error
33%
Multiple-Input Multiple-Output
33%
Quantizer
33%
Sampled Signal
33%
Code Book
33%
Squared Error Distortion
33%
Distortion Measure
33%
Lossy Compression
33%
Spatial Correlation
33%
Average Power
33%
Analog-to-Digital Converter
33%
Computer Science
Linear Combination
100%
Quantized Signal
66%
Compression Rate
33%
Squared Error Distortion
33%
MIMO Systems
33%
Gaussian Source
33%
Distortion Measure
33%
Lossy Compression
33%
Spatial Correlation
33%
Analog-to-Digital Converter
33%
Integer Multiple
33%
Sampled Signal
33%