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TIT
1998
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13 years 11 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 11 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 11 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 11 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