DETECTING STEP-VARYING PARAMETERS OF MULTIDIMENSIONAL PROCESSES
Publication
, Journal Article
YASHIN AI
Published in: Avtomat I Telemekh
January 1, 1969
Optimal methods of filtering step-function processes are investigated. It is shown that an optimal filter must be nonlinear. A system of equations is derived which permits the detection of current values of step-varying components of multidimensional processes.
Duke Scholars
Published In
Avtomat I Telemekh
Publication Date
January 1, 1969
Issue
10
Start / End Page
60 / 67
Citation
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YASHIN AI. (1969). DETECTING STEP-VARYING PARAMETERS OF MULTIDIMENSIONAL PROCESSES. Avtomat I Telemekh, (10), 60–67.
YASHIN AI. “DETECTING STEP-VARYING PARAMETERS OF MULTIDIMENSIONAL PROCESSES.” Avtomat I Telemekh, no. 10 (January 1, 1969): 60–67.
YASHIN AI. DETECTING STEP-VARYING PARAMETERS OF MULTIDIMENSIONAL PROCESSES. Avtomat I Telemekh. 1969 Jan 1;(10):60–7.
YASHIN AI. “DETECTING STEP-VARYING PARAMETERS OF MULTIDIMENSIONAL PROCESSES.” Avtomat I Telemekh, no. 10, Jan. 1969, pp. 60–67.
YASHIN AI. DETECTING STEP-VARYING PARAMETERS OF MULTIDIMENSIONAL PROCESSES. Avtomat I Telemekh. 1969 Jan 1;(10):60–67.
Published In
Avtomat I Telemekh
Publication Date
January 1, 1969
Issue
10
Start / End Page
60 / 67