A partial decorrelation scheme for improved predictive open loop quantization with noise shaping

In this contribution a modified scheme for linear prediction analysis is presented which controls the degree of decorrelation by a parameter α. In consideration of this parameter the signal to noise ratio of a linear predictive coding scheme is investigated and finally maximized for open loop quantization. Also, the new parameter can be used to control the spectral shape of the quantization error in the decoder output. As result the signal to noise ratio of the reconstructed signal can be increased for open loop quantization compared to conventional prediction analysis, and at the same time the perceptual encoding quality benefits from a moderate spectral shaping of the quantization noise in the decoded signal.