Poly-phase based blind deconvolution technique using second-order statistics

putational load numerical arithmetic such as a singular decomposition. A novel second-order statistics-based blind deconvolution and equalizer technique is proposed in this literature. This technique makes use of a two-channel perfect reconstruction jilter bank derived from a two-component polyphase decomposition of transmission channel in order to make exact system identifications possible. The proposed blind deconvolution algorithm is superior to conventional algorithms in view of simple structure and the uniqueness of solution. In order to verify the effectiveness of this method, several computer simulations including a 256 QAM signal equalizer and a blurred image recovery have been shown.