Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-18T07:39:03.374Z Has data issue: false hasContentIssue false

A note on the black box problem

Published online by Cambridge University Press:  14 July 2016

R. G. Keats*
Affiliation:
University of Adelaide

Extract

It is well known (Lee 1960), especially to communications and control systems engineers, that the weighting function (unit impulse function) of a linear causal system may be obtained by cross correlating its output with its input. In general a Wiener-Hopf integral equation must be solved for the weighting function; but if the input were “white noise” of unit spectral density then, as shown by Lee (1950), the weighting function would be equal to this cross correlation function for positive values of its argument. Although a perfectly “white” input cannot be obtained in practice, a number of modifications of this technique have been used; Anderson, Buland and Cooper (1959), for example, describe the use of specially selected samples of “discrete-interval binary noise” in a problem in adaptive control.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anderson, G. W., Buland, R.N. and Cooper, G. R. (1959) Use of cross correlation in an adaptive control system. Proc. Nat. Electron. Conf. 15, 34.Google Scholar
Biggs, A. G. (1961) Validation of mathematical models using analogue computers. 3 es Journées Internationales de Calcul Analogique, 260.Google Scholar
Biggs, A. G. and Cawthorne, A. R. (1962) Bloodhound missile evaluation. J. R. Aeronaut. Soc., 571.CrossRefGoogle Scholar
Doob, J. L. (1953) Stochastic Processes. Wiley, p. 529 et seq. Google Scholar
Keats, R.G. (1961) The evaluation of complex systems using analogue computers. 3es Journées Internationales de Calcul Analogique, 254.Google Scholar
Keats, R. G. (1965) The application of correlation techniques to checking and adjusting mathematical models. Ph.D. Thesis , Adelaide University.Google Scholar
Lawrence, T. F. C., Hayman, E. G. and Benyon, P. R. (1961) Use of a mathematical model in the evaluation of guided missile performance. J. Inst. Eng. Aust., 299.Google Scholar
Lee, Y. W. (1960) Statistical Theory of Communications. Wiley.Google Scholar
Lee, Y. W. (1950) Application of statistical methods to communication problems. M.I.T. Res. Lab. of Electronics Tech. Report No. 181.Google Scholar