Stochastic consensus over noisy networks with Markovian and arbitrary switches
Automatica (Journal of IFAC)
Cactus: a hybrid digital-analog wireless video communication system
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
On optimal policies for control and estimation over a Gaussian relay channel
Automatica (Journal of IFAC)
| Hi-index | 754.84 |
Fundamental limitations on the performance of any type of communication system transmitting data from an analog source may be obtained by application of a theorem in Shannon's original paper on information theory. In order to transmit the output of an analog source to a sink with mean-squared error e or less, it is necessary to transmit information from source to sink at rates greater than some minimal rateR(epsilon)bits per second. If a channel of capacityCbits per second is used, then in order for any communication system to be able to achieveepsilonmean-squared error or less with this channel it is necessary thatR(epsilon) leq C. This inequality can be used to determine the minimum mean-squared error obtainable for a given source-channel pair without discussing any particular communication system. As an example, the minimum mean-squared error is calculated for cases in which the analog source and additive channel noise are stationary, Gaussian processes. The performance of amplitude and angle modulation systems is compared to the theoretically ideal performance obtainable in some of these cases.