Adaptive transform coding incorporating time domain aliasing cancellation
Speech Communication
Multirate systems and filter banks
Multirate systems and filter banks
Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Digital Coding of Waveforms: Principles and Applications to Speech and Video
A Candidate Coder for the ITU-T' s New Wideband Speech Coding Standard
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Perfect reconstruction versus MMSE filter banks in source coding
IEEE Transactions on Signal Processing
Modeling, analysis, and optimum design of quantized M-band filterbanks
IEEE Transactions on Signal Processing
Cyclostationary modeling, analysis, and optimal compensation ofquantization errors in subband codecs
IEEE Transactions on Signal Processing
Stability study of the SB-ADPCM coder
Signal Processing
Analysis of M-channel time-varying filter banks
Digital Signal Processing
Time-varying cosine-modulated filter banks
Digital Signal Processing
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The time-varying modulated lapped transform (MLT) is used in speech and audio coding schemes to adjust the time-frequency resolution, to eliminate pre-echoes in the reconstructed signal, and to improve the coding quality. In order to maintain the perfect-reconstruction property in transition periods, an asymmetrical window has to be used at cost of poorer frequency characteristics. We firstly generalize a window-design method for transition periods in the time-varying MLT with a rigorous proof of its PR property, then present a new window-design method, with which the prototype window is so designed that the total reconstruction distortion in presence of coefficient quantization is minimized. This leads to the time-varying minimum mean-square error (MMSE) MLT. Experiments have shown that the designed windows have better frequency characteristics than the sine window in both transition and regular periods. A general formulation of the quantization distortion for different quantization-error models and for all coding systems is given. A simplified optimal window-design algorithm without direct minimization of the distortion equation is suggested. As an example a transform-coding scheme with time-varying MMSE MLT for speech and audio signals is presented.