Wavelets and subband coding
Nonlinear black-box modeling in system identification: a unified overview
Automatica (Journal of IFAC) - Special issue on trends in system identification
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Adaptive wavelet-packet analysis for audio coding purposes
Signal Processing
Wavelet packets-based digital watermarking for image verification and authentication
Signal Processing - Special section: Security of data hiding technologies
Modeling and identification of LPTV systems by wavelets
Signal Processing
Sub-band adaptive filtering with delay compensation for active control
IEEE Transactions on Signal Processing - Part I
New structures for adaptive filtering in subbands with critical sampling
IEEE Transactions on Signal Processing
Wavelet transform domain adaptive FIR filtering
IEEE Transactions on Signal Processing
Using wavelet network in nonparametric estimation
IEEE Transactions on Neural Networks
Wavelet-Packet Identification of Dynamic Systems with Coloured Measurement Noise
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Convolution wavelet packet transform and its applications to signal processing
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
Optimized orthonormal wavelet filters with improved frequency separation
Digital Signal Processing
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This work presents a technique for linear system identification in frequency subbands by using wavelet packets. The wavelet-packet decomposition tree is used to establish frequency bands where subband models are created. An algorithm is proposed to adjust the tree structure, in order to achieve a compromise between accuracy and parsimony of the model. In a simulated example involving the identification of an aircraft model, the results of the proposed technique are favourably compared with those of a standard time-domain method.