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TIT
1998
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13 years 4 months ago
Memory-Universal Prediction of Stationary Random Processes
Abstract— We consider the problem of one-step-ahead prediction of a real-valued, stationary, strongly mixing random process fXig
Dharmendra S. Modha, Elias Masry
CORR
2006
Springer
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13 years 4 months ago
Optimal Distortion-Power Tradeoffs in Gaussian Sensor Networks
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements ...
Nan Liu, Sennur Ulukus
CORR
2006
Springer
86views Education» more  CORR 2006»
13 years 4 months ago
Optimal Distortion-Power Tradeoffs in Sensor Networks: Gauss-Markov Random Processes
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements ...
Nan Liu, Sennur Ulukus
CORR
2006
Springer
107views Education» more  CORR 2006»
13 years 4 months ago
Dense Gaussian Sensor Networks: Minimum Achievable Distortion and the Order Optimality of Separation
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements...
Nan Liu, Sennur Ulukus