2009 |
6 | EE | Daniel Marco:
Markov Random Processes Are Neither Bandlimited nor Recoverable From Samples or After Quantization.
IEEE Transactions on Information Theory 55(2): 900-905 (2009) |
2007 |
5 | EE | Daniel Marco,
David L. Neuhoff:
Low-Resolution Scalar Quantization for Gaussian Sources and Absolute Error.
IEEE Transactions on Information Theory 53(3): 1177-1179 (2007) |
2006 |
4 | EE | Daniel Marco,
David L. Neuhoff:
Low-resolution scalar quantization for Gaussian sources and squared error.
IEEE Transactions on Information Theory 52(4): 1689-1697 (2006) |
2005 |
3 | EE | Daniel Marco,
David L. Neuhoff:
The validity of the additive noise model for uniform scalar quantizers.
IEEE Transactions on Information Theory 51(5): 1739-1755 (2005) |
2004 |
2 | EE | Daniel Marco,
David L. Neuhoff:
Reliability vs. efficiency in distributed source coding for field-gathering sensor networks.
IPSN 2004: 161-168 |
2003 |
1 | EE | Daniel Marco,
Enrique J. Duarte-Melo,
Mingyan Liu,
David L. Neuhoff:
On the Many-to-One Transport Capacity of a Dense Wireless Sensor Network and the Compressibility of Its Data.
IPSN 2003: 1-16 |