Adaptive filter theory
Wavelets and subband coding
Sampling in digital signal processing and control
Sampling in digital signal processing and control
Wavelet-based linear system modeling and adaptive filtering
IEEE Transactions on Signal Processing
An embedding approach to frequency-domain and subband adaptivefiltering
IEEE Transactions on Signal Processing
Wavelet transform domain adaptive FIR filtering
IEEE Transactions on Signal Processing
Wavelet transform based adaptive filters: analysis and new results
IEEE Transactions on Signal Processing
Wavelet-packet identification of dynamic systems in frequency subbands
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Wavelet-Packet Identification of Dynamic Systems with Coloured Measurement Noise
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Identification of LPTV systems in the frequency domain
Digital Signal Processing
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We propose a novel model for discrete linear periodic time varying (LPTV) systems using wavelets. The new model is compared with the 'raised model', which is commonly used for modeling LPTV systems. In fact, it turns out that the new model can be viewed as a generalization of the raised model. The wavelets model will be shown to be particularly suitable for adaptive identification of LPTV systems. It offers a compromise between time-and frequency-based algorithms. Time resolution is needed for modeling reasons and minimizing processing delay. Frequency resolution enables faster convergence of adaptive algorithms in general and the least mean square algorithm used here, in particular. Simulations show that for a colored input using the new model results not only in faster convergence compared to the raised model based algorithm, but also produces a lower steady-state error. This, at no significant additional cost in numerical complexity.