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Wireless sensor networks have increasingly been gaining importance because of their applications in many domains, including remote sensing, traffic management, disaster alarm, and anomaly detection. In many of these applications, sensor nodes cooperate in obtaining an estimate of a control or environmental parameter to achieve capabilities that cannot be achieved by letting the nodes work individually. Cooperation may take on many forms, but it usually involves the computation of weighted averages, maximum values, or polynomial functions of sensor readings. As the readings are available at spatially distributed nodes, wireless communication resources have to be used as efficiently as possible in the computation of the underlying functions. In this paper, we present novel techniques that exploit recent ideas on analog computation coding over wireless channels and show how the proposed techniques can be applied in real-world estimation problems.