Oct 22, 2007 · Abstract: We study the problem of the reconstruction of a Gaussian field defined in [0,1] using N sensors deployed at regular intervals.
The main contribution of this paper is demonstrating the utility of distributed source coding as a means of reducing the sum rate. As the number of sensors ...
The existence of a distributed block coding scheme that achieves, for a given fidelity criterion for the sensor's measurements, a total information rate ...
One of the enabling technologies for sensor networks is distributed source coding (DSC), which refers to the compression of multiple correlated sensor out- puts ...
To implement the first stage, the heavy correlation between the sensor samples suggests the use of distributed coding schemes to reduce the total rate. We ...
One of the main properties of distributed source coding is that the computational burden in encoders is shifted to the joint decoder.
linear codes and near-capacity channel codes such as. Turbo and Low Density Parity Check (LCPD) codes. ○ Turbo and LCPD codes have been shown to approach.
We have presented a new domain of collaborative infor- mation communication and processing through the framework on distributed source coding. This framework.
Distributed Source Coding refers to the process of compressing multiple independent data sources that are geographically separated
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Jun 24, 2009 · CONCLUSION. In this paper we study Bayesian model to predict the theoretical bounds and compares with real simulations of cross-layer and ...