Multirate systems and filter banks
Multirate systems and filter banks
Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Sparse audio representations using the MCLT
Signal Processing - Sparse approximations in signal and image processing
Toeplitz And Circulant Matrices: A Review (Foundations and Trends(R) in Communications and Information Theory)
A modulated complex lapped transform and its applications to audio processing
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
Linear filtering in DCT IV/DST IV and MDCT/MDST domain
Signal Processing
A modified distortion metric for audio coding
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Estimating spatial cues for audio coding in MDCT domain
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Spatial parameters for audio coding: MDCT domain analysis and synthesis
Multimedia Tools and Applications
Extended lapped transforms: properties, applications, and fast algorithms
IEEE Transactions on Signal Processing
Lapped transform via time-domain pre- and post-filtering
IEEE Transactions on Signal Processing
Compression Artifacts in Perceptual Audio Coding
IEEE Transactions on Audio, Speech, and Language Processing
Hi-index | 0.08 |
Critically sampled perfect reconstruction lapped transforms (LT), apart from signal representation, are difficult to use for signal analysis and processing. We tackle this problem by establishing a novel connection between the LT and the DFT based on matrix analysis. Specifically, for the modified discrete cosine transform (MDCT) with an arbitrary symmetric window, one of the most widely used LT, a sparse matrix representation for the conversion to and from the DFT is developed, leading to an efficient implementation in the form of low-order frequency domain FIR filtering. We give two example applications, MDCT domain group delay estimation and aliasing reduction for the temporal noise shaping (TNS).