Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Gabor Analysis and Algorithms: Theory and Applications
Gabor Analysis and Algorithms: Theory and Applications
Nonlinear approximation schemes associated with nonseparable wavelet bi-frames
Journal of Approximation Theory
Frequency-domain design of overcomplete rational-dilation wavelet transforms
IEEE Transactions on Signal Processing
Superposition frames for adaptive time-frequency analysis and fast reconstruction
IEEE Transactions on Signal Processing
Flexible tree-structured signal expansions using time-varyingwavelet packets
IEEE Transactions on Signal Processing
Frame-theoretic analysis of oversampled filter banks
IEEE Transactions on Signal Processing
Adapted local trigonometric transforms and speech processing
IEEE Transactions on Signal Processing
Auditory time-frequency masking: psychoacoustical data and application to audio representations
CMMR'11 Proceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India
Observing damaged beams through their time-frequency extended signatures
Signal Processing
Construction of approximate dual wavelet frames
Advances in Computational Mathematics
Hi-index | 7.29 |
Signal analysis with classical Gabor frames leads to a fixed time-frequency resolution over the whole time-frequency plane. To overcome the limitations imposed by this rigidity, we propose an extension of Gabor theory that leads to the construction of frames with time-frequency resolution changing over time or frequency. We describe the construction of the resulting nonstationary Gabor frames and give the explicit formula for the canonical dual frame for a particular case, the painless case. We show that wavelet transforms, constant-Q transforms and more general filter banks may be modeled in the framework of nonstationary Gabor frames. Further, we present the results in the finite-dimensional case, which provides a method for implementing the above-mentioned transforms with perfect reconstruction. Finally, we elaborate on two applications of nonstationary Gabor frames in audio signal processing, namely a method for automatic adaptation to transients and an algorithm for an invertible constant-Q transform.