EURASIP Journal on Applied Signal Processing
Paraunitary oversampled filter bank design for channel coding
EURASIP Journal on Applied Signal Processing
Quantization noise shaping on arbitrary frame expansions
EURASIP Journal on Applied Signal Processing
Foundations and Trends in Signal Processing
Optimal noise reduction in oversampled PR filter banks
IEEE Transactions on Signal Processing
Quantization of filter bank frame expansions through moving horizon optimization
IEEE Transactions on Signal Processing
Multiple-description coding by dithered delta-sigma quantization
IEEE Transactions on Information Theory
Bound ratio minimization of filter bank frames
IEEE Transactions on Signal Processing
Performance of sigma-delta quantizations in finite frames
IEEE Transactions on Information Theory
Frame-theoretic analysis of robust filter bank frames to quantization and erasures
IEEE Transactions on Signal Processing
Hi-index | 754.97 |
We introduce two methods for quantization noise reduction in oversampled filter banks. These methods are based on predictive quantization (noise shaping or linear prediction). It is demonstrated that oversampled noise shaping or linear predictive subband coders are well suited for subband coding applications where, for technological or other reasons, low-resolution quantizers have to be used. In this case, oversampling combined with noise shaping or linear prediction improves the effective resolution of the subband coder at the expense of increased rate. Simulation results are provided to assess the achievable quantization noise reduction and resolution enhancement, and to investigate the rate-distortion properties of the proposed methods