Non-parametric linear time-invariant system identification by discrete wavelet transforms
نویسندگان
چکیده
منابع مشابه
Non-parametric linear time-invariant system identification by discrete wavelet transforms
We describe the use of the discrete wavelet transform (DWT) for non-parametric linear time-invariant system identification. Identification is achieved by using a test excitation to the system under test (SUT) that also acts as the analyzing function for the DWT of the SUT’s output, so as to recover the impulse response. The method uses as excitation any signal that gives an orthogonal inner pro...
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Discrete-time wavelet transform (DWT) is found to be better than other transforms in the time-varying system analysis, e.g. for time-varying parametric modelling [16], time-varying systems identification [17], time-varying parameter estimation [18] and time domain signal analysis [19]. In the literature the common method to analyze the time-varying system using discrete-time wavelet transform i...
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ژورنال
عنوان ژورنال: Digital Signal Processing
سال: 2006
ISSN: 1051-2004
DOI: 10.1016/j.dsp.2005.11.004