A novel recurrent network for signal processing

摘要

A new recurrent network is developed for the signal processing applications of spectral estimation, direction of arrival estimation, and pattern classification. For the development of the network, the above problems are posed as linear inverse problems with sparseness constraints. The results are provided to support the usefulness of the network.