Daniel Marco
California Institute of Technology
1200 E. California 337 Moore Laboratory
Pasadena, CA 91106
danielmarco at gmail dot com
 

From 2004 to 2006 I was a Postdoc at Caltech with the Center for the Mathematics of Information (CMI). I received my Ph.D. in Electrical Engineering, M.S. in Mathematics, and M.S. in Electrical Engineering, in 2004, 2003, and 2001, respectively, all from the The  University of Michigan in Ann Arbor, MI. Prior to that I studied at the Techinion - Israel Institute of Technology in Haifa, Israel, where I completed my B.Sc. in Computer Science and Electrical Engineering in 1999.

Research Interests

My research focuses on asymptotic quantization theory (high resolution and low resolution), and  quantization at high sampling rates, coding with side information, stochastic processes, distributed source coding in wireless sensor networks and other sensor network related topics.

Publications

Journals:

 

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Daniel Marco and David L. Neuhoff, "Entropy of Highly Correlated Quantized Data", Transactions on Information Theory, vol. 56, pp. 2455-2478, May 2010.[pdf]

 

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Daniel Marco and Michelle Effros, "On Lossless Coding with Coded Side Information", Transactions on Information Theory, vol. 55, pp. 3284-3296, July 2009.[pdf]

 

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Daniel Marco, "Markov Random Processes Are Neither Bandlimited nor Recoverable From Samples or After Quantization", Transactions on Information Theory, vol. 55, pp. 900-905, Feb. 2009.[pdf]

 

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Daniel Marco and David L. Neuhoff, "Low Resolution Scalar Quantization for Gaussian Sources and Absolute Error'',  IEEE Transactions on Information Theory, vol. 53, pp. 1177-1179, Mar. 2007.[pdf]

 

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Daniel Marco and David L. Neuhoff, "Low Resolution Scalar Quantization for Gaussian Sources and Squared Error'',  IEEE Transactions on Information Theory, vol. 52, pp. 1689-1697, Apr. 2006. [pdf]

 

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Daniel Marco and David L. Neuhoff, "The Validity of the Additive Noise Model for Uniform Scalar Quantizers", IEEE Transactions on Information Theory, vol. 51, pp. 1739-1755, May 2005. [pdf]

 

 

Refereed Conferences:

 

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Daniel Marco, "Markov Random Processes are not Recoverable After Quantization and Mostly not Recoverable From Samples", IEEE International Symposium on Information Theory, ISIT 2007, Nice, France, June 24-29, 2007. [pdf]

 

 

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Daniel Marco and David L. Neuhoff, "Low Rate Scalar Quantization for Gaussian Sources and Absolute Error", IEEE International Symposium on Information Theory, ISIT 2006, Seattle, WA., July 9-14, 2006. [pdf]

 

 

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Daniel Marco and David L. Neuhoff, "Entropy of Quantized Data at High Sampling Rates",  IEEE International Symposium on Information Theory, ISIT 2005, Adelaide, Australia, Sep. 4-9, 2005. [pdf]

 

 

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Daniel Marco and David L. Neuhoff, "Performance of Low Rate Entropy-Constrained Scalar Quantizers",  IEEE International Symposium on Information Theory, ISIT 2004, Chicago, IL., June 27 - July 2, 2004. [pdf]

 

 

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Daniel Marco and David L. Neuhoff, "Reliability vs. Efficiency in Distributed Source Coding for Field-Gathering Sensor Networks", The 3rd International Workshop on Information Processing in Sensor Networks, IPSN'04, Berkeley, CA.,  Apr. 22-23, 2003.[pdf]

 

 

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Daniel Marco and David L. Neuhoff, "Uniform Scalar Quantizers - Distortion and the Additive Noise Model", IEEE International Symposium on Information Theory, ISIT 2003, Pacifico Yokohama, Yokohama, Japan, p. 462, June 29 - July 4, 2003.[pdf]

 

 

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Daniel Marco, Enrique J. Duarte-Melo, Mingyan Liu and David L. Neuhoff, "On the Many-to-One Transport Capacity of a Dense Wireless Sensor Network and the Compressibility of Its Data", The 2nd International Workshop on Information Processing in Sensor Networks, IPSN'03, Palo Alto Research Center (PARC), Palo Alto, CA., April 22-23, 2003.[pdf]

 

 

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David L. Neuhoff and Daniel Marco, "Distributed Encoding of Sensor Data", IEEE Information Theory Workshop, ITW 2002, Bangalore, India, Oct. 20-25, 2002. [pdf]

 

Invited Conferences:

 

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Daniel Marco and Michelle Effros, "A Partial Solution for Lossless Source Coding with Coded Side Information",  IEEE Information Theory Workshop, ITW 2006, Punta del Este, Uruguay, Mar. 13-17, 2006. [pdf]

Technical Reports:

 

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Daniel Marco and David L. Neuhoff, "Low Resolution Scalar Quantization for Gaussian and Laplacian Sources with Absolute and Squared Error Distortion Measures",  Technical Report, EECS Department, University of Michigan, CSPL, TR-372, 2006. [pdf]

Daniel Marco and David L. Neuhoff, "Marker Codes for Channels with Insertion, Deletion and Substitution Errors",  Technical Report, EECS Department, University of Michigan, CSPL, TR-347, 2003.

 

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Daniel Marco and David L. Neuhoff, "Marker Codes for Channels with Insertion, Deletion and Substitution Errors", Technical Report, EECS Department, University of Michigan, CSPL, TR-347, 2003.

Daniel Marco and David L. Neuhoff, "Low Resolution Scalar Quantization for Gaussian and Laplacian Sources with Absolute and Squared Error Distortion Measures",  Technical Report, EECS Department, University of Michigan, CSPL, TR-372, 2006. [pdf]

 

Click here for my Ph.D. thesis.

Click here to view my CV.