Abstract :
The feedback capacity of additive stationary Gaussian noise channels is characterized as the solution to a variational problem. Toward this end, it is proved that the optimal feedback coding scheme is stationary. When specialized to the first-order autoregressive moving-average noise spectrum, this variational characterization yields a closed-form expression for the feedback capacity. In particular, this result shows that the celebrated Schalkwijk-Kailath coding scheme achieves the feedback capacity for the first-order autoregressive moving-average Gaussian channel, positively answering a long-standing open problem studied by Butman, Schalkwijk-Tiernan, Wolfowitz, Ozarow, Ordentlich, Yang-Kavcic-Tatikonda, and others. More generally, it is shown that a k-dimensional extension of the Schalkwijk-Kailath coding scheme achieves the feedback capacity for any autoregressive moving-average noise spectrum of order k. Simply put, the optimal transmitter iteratively refines the receiver´s knowledge of the intended message
Keywords :
Gaussian channels; autoregressive moving average processes; channel capacity; channel coding; Schalkwijk-Kailath coding scheme; additive stationary Gaussian noise channels; feedback capacity; first-order autoregressive moving-average noise spectrum; optimal feedback coding scheme; variational characterization; Additive noise; Closed-form solution; Density measurement; Feedback; Gaussian channels; Gaussian noise; Information systems; Information theory; Laboratories; Transmitters;