Ten lectures on wavelets
Multirate systems and filter banks
Multirate systems and filter banks
Wavelets and subband coding
Joint time-frequency analysis: methods and applications
Joint time-frequency analysis: methods and applications
Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms
Pattern Recognition Letters
Wavelet-packet identification of dynamic systems in frequency subbands
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Heart sound classification using wavelet transform and incremental self-organizing map
Digital Signal Processing
Wavelet-Packet Identification of Dynamic Systems with Coloured Measurement Noise
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Combined neural network model employing wavelet coefficients for EEG signals classification
Digital Signal Processing
Discrete-Time Signal Processing
Discrete-Time Signal Processing
Convolution wavelet packet transform and its applications to signal processing
Digital Signal Processing
An adaptive audio watermarking based on the singular value decomposition in the wavelet domain
Digital Signal Processing
On the choice of filter bank parameters for wavelet-packet identification of dynamic systems
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
The role of linear semi-infinite programming in signal-adapted QMFbank design
IEEE Transactions on Signal Processing
On the space of orthonormal wavelets
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
On the optimal choice of a wavelet for signal representation
IEEE Transactions on Information Theory - Part 2
Design of signal-adapted multidimensional lifting scheme for lossy coding
IEEE Transactions on Image Processing
Multidimensional orthogonal filter bank characterization and design using the Cayley transform
IEEE Transactions on Image Processing
Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy
Digital Signal Processing
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This paper proposes an optimization-based method to design orthonormal wavelet filters with improved frequency separation. The proposed approach adopts a parameterization of orthogonal filter banks which ensures that the resulting wavelets have at least two vanishing moments. The filter parameters are adjusted by a numerical optimization algorithm in order to minimize a cost function associated to cut-off sharpness. In comparison with standard orthonormal filters, the proposed method is shown to provide better trade-off between frequency selectivity and time resolution. For illustration, the optimized filters are employed in an application example involving the use of a wavelet-packet system identification scheme. As a result, the identification errors are smaller than those obtained by using a non-optimized filter with the same length.