Accession Number:

AD0263119

Title:

TIME RESPONSE CHARACTERISTICS OF LINEAR NETWORKS AND TRANSFORMATION METHODS IN NETWORK SYNTHESIS

Descriptive Note:

Corporate Author:

SYRACUSE UNIV N Y

Personal Author(s):

Report Date:

1961-08-01

Pagination or Media Count:

1.0

Abstract:

The effects of linear networks on various types of signals, and approximation methods are considered. A systematic means is discussed to change a given rational transfer function such that its impulse response approximates a given time function with reduced integral squared error. Transformation methods are presented that are of use in network synthesis. In many problems of interest, a time domain representation of the networks under consideration may yield a better insight into the characteristics desired than a frequency domain representation. For example, in polynomial extrapolation of sampled data it is useful to consider the extrapolation process as a finite memory filter operating on the input data. The output of this filter is most readily studied by considering its time domain characteristics, rather than its frequency domain representation. The time domain representation is exploited herein when the input signal is deterministic, and also when it is described in terms of an autocorrelation function. Much of the work that is done is concerned with finite memory filters, and a study in the time domain is found to be most useful in this case. Author

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Distribution Statement:

APPROVED FOR PUBLIC RELEASE