Separation theorems and partial orderings for sensor network problems
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We consider the rate-distortion problem for recording a Gaussian acoustic field with an array of sensors equipped with microphones. Our analysis is based on the field's spatiotemporal correlation structure, which is induced by the physics of sound propagat ...
In the problem of lossy source coding with side-information, it is well known (Wyner and Ziv 1976) that knowledge of the side-information at the encoder improves the rate-distortion trade-off for binary sources and the Hamming distortion measure. We consid ...
We consider a lossy source coding problem where the description of a source is going to be used by two decoders, each having access to information correlated with the source. This side-information is also present at the encoder. We give inner and outer bou ...
For a class of sensor networks, the task is to monitor an underlying physical phenomenon over space and time through an imperfect observation process. The sensors can communicate back to a central data collector over a noisy channel. The key pa- rameters i ...
Institute of Electrical and Electronics Engineers2005
Suppose Q is a family of discrete memoryless channels. An unknown member of Q will be available, with perfect, causal output feedback for communication. Is there a coding scheme (possibly with variable transmission time) that can achieve the Burnashev erro ...
Feedback can considerably simplify the task of approaching and achieving the performance limits predicted by information theory. This paper determines some of the potential offered by feedback in a typical sensor network situation that could be termed moni ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2004
The goal of a class of sensor networks is to monitor an underlying physical reality at the highest possible fidelity. Sensors acquire noisy measurements and have to communicate them over a power- and possibly bandwidth-constrained interference channel to a ...
In the remote source coding problem, an underlying source is observed in noise. The noisy observations must be encoded into a bit stream in such a way as to enable the decoder to produce a good approximation to the original source sequence. The trade-off b ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2005
This paper provides an inner bound to the rate-distortion region of a source coding setup in which two encoders are allowed some collaboration to describe a pair of discrete memoryless sources. We further require some robustness in case one of the encoders ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007
Wyner and Ziv [1] determined the rate-distortion function of source coding with side information. In this paper, we consider a network extension of their scenario: Many sources have to be compressed in a rate-distortion sense for a decoder that has access ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2003
