A Function Calculus for Identi cation and System Analysis
نویسنده
چکیده
Techniques are presented for use in FFT network an-alyzers to improve estimates of long lags in the impulse response. A key step involves short-term correlation of time-shifted copies of the input-output data. We introduce new Banach signal spaces for the analysis of such data. As a preliminary result, new transfer function estimation algorithms are given with bounds on the eeect of undermodelling, noise and lack of empirical data in the H 1 norm. Comparisons with optimality are given using metric-complexity concepts. The algorithms and error calculations are implemented in MATLAB to realize a software network analyzer which includes error bars.
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