Abstract
Oversampled filter banks (OSFBs) have been considered for channel
coding, since their redundancy can be utilised to permit the
detection and correction of channel errors. In this paper, we
propose an OSFB-based channel coder for a correlated additive
Gaussian noise channel, of which the noise covariance matrix is
assumed to be known. Based on a suitable factorisation of this
matrix, we develop a design for the decoder's synthesis filter
bank in order to minimise the noise power in the decoded signal,
subject to admitting perfect reconstruction through paraunitarity
of the filter bank. We demonstrate that this approach can lead to
a significant reduction of the noise interference by exploiting
both the correlation of the channel and the redundancy of the
filter banks. Simulation results providing some insight into these
mechanisms are provided.