It is shown how linear time-varying systems can be modeled in several different ways by discrete-time wavelets or, more generally, by some set of functions.
Abstract- It is shown how linear time-varying systems can be modeled in several different ways by discrete-time wavelets or, more generally, by some set of ...
It is shown how linear time-varying systems can be modeled in several different ways by discrete-time wavelets or, more generally, by some set of functions.
A least-mean-square adaptive filtering algorithm is derived for on-line filtering and system identification and the advantages of using wavelet-based ...
This companion paper focuses on the adaptive eddy-resolving framework for compressible flows in complex geometries, which also includes model-form adaptation.
In this paper, a new adaptive structure based on wavelet packets filter bank (WPFB) is proposed. The system identification of a finite impulse response (FIR) ...
Missing: modeling | Show results with:modeling
Extending the existing results of the performance analysis for the LMS adaptive filter, the paper studies the performance of the outputmodulator-structured ...
Wavelet transforms have had tremendous impact on the fields of signal processing, signal coding, estimation, pattern recognition, applied sciences, process ...
The H-transform is shown to be the wavelet transform which concentrates the information optimally for an image model which fits most of the astronomical images.
Missing: based | Show results with:based
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Based on the scale function representation for a function in L 2(R), a new wavelet transform based adaptive system identification scheme is proposed.