Daniel Marco, Ph.D.

Affiliations: 
2004 University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Electronics and Electrical Engineering
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"Daniel Marco"

Parents

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David L. Neuhoff grad student 2004 University of Michigan
 (Asymptotic quantization and applications to sensor networks.)
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Publications

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Marco D, Neuhoff DL. (2010) Entropy of highly correlated quantized data Ieee Transactions On Information Theory. 56: 2455-2478
Marco D, Neuhoff DL. (2007) Low-resolution scalar quantization for Gaussian sources and absolute error Ieee Transactions On Information Theory. 53: 1177-1179
Marco D, Neuhoff DL. (2006) Low-resolution scalar quantization for Gaussian sources and squared error Ieee Transactions On Information Theory. 52: 1689-1697
Marco D, Neuhoff DL. (2006) Low rate scalar quantization for Gaussian sources and absolute error Ieee International Symposium On Information Theory - Proceedings. 2551-2553
Marco D, Neuhoff DL. (2005) The validity of the additive noise model for uniform scalar quantizers Ieee Transactions On Information Theory. 51: 1739-1755
Marco D, Neuhoff DL. (2005) Entropy of quantized data at high sampling rates Ieee International Symposium On Information Theory - Proceedings. 2005: 342-346
Marco D, Neuhoff DL. (2004) Reliability vs. Efficiency in distributed source coding for field-gathering sensor networks Third International Symposium On Information Processing in Sensor Networks, Ipsn 2004. 161-168
Marco D, Neuhoff DL. (2004) Performance of low rate entropy-constrained scalar quantizers Ieee International Symposium On Information Theory - Proceedings. 495
Marco D, Neuhoff DL. (2003) Uniform scalar quantizers - Distortion and the additive noise model Ieee International Symposium On Information Theory - Proceedings. 462
Neuhoff DL, Marco D. (2002) Distributed encoding of sensor data Proceedings of the 2002 Ieee Information Theory Workshop, Itw 2002. 108-110
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