A new bilinear time series structure is proposed and is tested on thre
e sample time series to demonstrate its effectiveness. It is found tha
t the proposed bilinear model can represent both nonlinearity and mult
iperiodicity, and it therefore provides a useful model class for gener
al applications. In addition, the proposed bilinear model uses fewer p
arameters than conventional bilinear models with the same structure.