Daniel Marco

14 papers B 6Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2010 J jnl
Entropy of highly correlated quantized data.
IEEE Trans. Inf. Theory
Daniel Marco, David L. Neuhoff
2009 J jnl
Markov Random Processes Are Neither Bandlimited nor Recoverable From Samples or After Quantization.
IEEE Trans. Inf. Theory
Daniel Marco
2009 J jnl
On lossless coding with coded side information.
IEEE Trans. Inf. Theory
Daniel Marco, Michelle Effros
2007 J jnl
Low-Resolution Scalar Quantization for Gaussian Sources and Absolute Error.
IEEE Trans. Inf. Theory
Daniel Marco, David L. Neuhoff
2007 B conf
Markov Random Processes are not Recoverable After Quantization and Mostly not Recoverable From Samples.
ISIT
Daniel Marco
2006 B conf
A Partial Solution for Lossless Source Coding with Coded Side Information.
ITW
Daniel Marco, Michelle Effros
2006 B conf
Low Rate Scalar Quantization for Gaussian Sources and Absolute Error.
ISIT
Daniel Marco, David L. Neuhoff
2006 J jnl
Low-resolution scalar quantization for Gaussian sources and squared error.
IEEE Trans. Inf. Theory
Daniel Marco, David L. Neuhoff
2005 B conf
Entropy of quantized data at high sampling rates.
ISIT
Daniel Marco, David L. Neuhoff
2005 J jnl
The validity of the additive noise model for uniform scalar quantizers.
IEEE Trans. Inf. Theory
Daniel Marco, David L. Neuhoff
2004 B conf
Performance of low rate entropy-constrained scalar quantizers.
ISIT
Daniel Marco, David L. Neuhoff
2004 — conf
Reliability vs. efficiency in distributed source coding for field-gathering sensor networks.
IPSN
Daniel Marco, David L. Neuhoff
2003 — conf
On the Many-to-One Transport Capacity of a Dense Wireless Sensor Network and the Compressibility of Its Data.
IPSN
Daniel Marco, Enrique J. Duarte-Melo, Mingyan Liu, David L. Neuhoff
2002 B conf
Distributed encoding of sensor data.
ITW
David L. Neuhoff, Daniel Marco