Quantization noise reduction in oversampled filter banks

We introduce a new method for quantization noise reduction in oversampled filter banks. This method is based on predictive quantization and achieves much better noise reduction than the best existing methods for noise reduction in overcomplete representations. It is demonstrated that the proposed oversampled predictive subband coders are well suited for subband coding applications where low resolution quantizers have to be used. In this case, oversampling combined with linear prediction improves the effective resolution of the subband coder at the cost of increased rate. Simulation results are provided to assess the achievable quantization noise reduction and resolution enhancement