Accession Number : AD0710650

Title :   IMPULSE RESPONSE IDENTIFICATION FROM TRUNCATED INPUT DATA USING FFT TECHNIQUES,

Corporate Author : BROWN UNIV PROVIDENCE R I DIV OF APPLIED MATHEMATICS

Personal Author(s) : Silverman,H. F. ; Pearson,A. E.

Report Date : AUG 1970

Pagination or Media Count : 28

Abstract : A method is presented for the noise-free identification of the kernel function of a finite memory linear system from normal operating input-output data. The problem is formulated taking into account the error in the output data which results from the truncation of the input to a finite time interval. Iteration in the frequency domain is used to overcome the truncation error, and a simple bound involving the input data is derived which is useful in predicting convergence. The Fast Fourier Transform algorithm is employed at each stage in the iteration which results in a computationally efficient identification procedure. Computer simulation studies of the algorithm are summarized which substantiate the theory and provide additional information of a practical nature. (Author)

Descriptors :   (*INFORMATION THEORY, INTEGRAL TRANSFORMS), FOURIER ANALYSIS, IDENTIFICATION, ITERATIONS, LINEAR SYSTEMS, SIMULATION, ALGORITHMS, THESES

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE