
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 noisefree identification of the kernel function of a finite memory linear system from normal operating inputoutput 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