
Frequency domain identification of linear systems from time domain data is discussed. The approach combines traditional frequency domain windowing with a wavelet transform algorithm applied in the frequency domain and may reduce the effect of noise and so give better resolution of the identified frequency response. A short example is included.
frequency domain identification, Identification in stochastic control theory, wavelet transform algorithm, Data smoothing in stochastic control theory, System identification, windowing, Frequency-response methods in control theory
frequency domain identification, Identification in stochastic control theory, wavelet transform algorithm, Data smoothing in stochastic control theory, System identification, windowing, Frequency-response methods in control theory
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
