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» Compression of Samplable Sources
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DCC
2007
IEEE
14 years 7 months ago
High-Rate Analysis of Systematic Lossy Error Protection of a Predictively Encoded Source
We consider a first-order Markov source, which is predictively encoded using a DPCM-style encoder. The quantized compressed prediction residual is transmitted over an erasure chan...
Shantanu Rane, David Rebollo-Monedero, Bernd Girod
IPSN
2003
Springer
14 years 20 days ago
Source-Channel Communication in Sensor Networks
Sensors acquire data, and communicate this to an interested party. The arising coding problem is often split into two parts: First, the sensors compress their respective acquired s...
Michael Gastpar, Martin Vetterli
ENC
2003
IEEE
14 years 23 days ago
Metrics for Symbol Clustering from a Pseudoergodic Information Source
We discuss a set of metrics, which aims to facilitate the formation of symbol groups from a pseudoergodic information source. An optimal codification can then be applied on the sy...
Angel Fernando Kuri Morales, Oscar Herrera-Alcanta...
TIT
2008
74views more  TIT 2008»
13 years 7 months ago
Rate Region of the Quadratic Gaussian Two-Encoder Source-Coding Problem
We determine the rate region of the quadratic Gaussian two-encoder source-coding problem. This rate region is achieved by a simple architecture that separates the analog and digita...
Aaron B. Wagner, Saurabha Tavildar, Pramod Viswana...
ICASSP
2008
IEEE
14 years 1 months ago
A compressive beamforming method
Compressive Sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compres...
Ali Cafer Gurbuz, James H. McClellan, Volkan Cevhe...