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Fundamental distortion limits of analog-to-digital compression
Alon Kipnis
, Yonina C. Eldar
,
Andrea J. Goldsmith
Research output
:
Contribution to journal
›
Article
›
peer-review
25
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Scopus citations
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Dive into the research topics of 'Fundamental distortion limits of analog-to-digital compression'. Together they form a unique fingerprint.
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Keyphrases
Analog-to-digital
100%
Band-limited
33%
Bit Rate
100%
Bounded Linear Functional
33%
Coding Problems
66%
Combined Sampling
33%
Combined Source
66%
Continuous Signal
33%
Continuous-time
33%
Critical Sampling
33%
Digital Pulse Compression
100%
Full Characterization
33%
Fundamental Limits
33%
Gaussian Signals
33%
Lossy
33%
Lossy Compression
33%
Minimal Sampling
33%
Minimum Distortion
33%
Number of Bits
33%
Nyquist Rate
33%
Pulse Code Modulation
33%
Random Process
33%
Sampling Problems
33%
Sampling Theorem
33%
Scalar Quantization
33%
Signal Energy
33%
Signal Processing
33%
Signal Reconstruction
33%
Signal Spectrum
33%
Source Code
66%
Source Sample
33%
Spectral Support
33%
Time Paths
33%
Uniformly Distributed
33%
Computer Science
Classical Problem
33%
Continuous Time
66%
Critical Sampling
33%
Fundamental Limit
33%
Lossy Compression
33%
Minimal Amount
33%
Nyquist Frequency
33%
Optical Spectrum
33%
Pulse Code Modulation
33%
Sampling Frequency
100%
Sampling Problem
33%
Sampling Theorem
33%
Scalar Quantizer
33%
Signal Processing
33%
Signal Reconstruction
33%
Mathematics
Continuous Time
100%
Energy Signal
50%
Gaussian Distribution
50%
Linear Functionals
50%
Lossy Compression
50%
Nyquist Frequency
50%
Random Process
50%
Sampling Theorem
50%
Signal Processing
50%
Unit Time
50%