Abstract
The paper describes a new approach to solving the problem of statistical identification of the impulse response function of a linear dynamic system, which is based on the correlation method using a sign-function analog-stochastic quantization of input and output signals. Sign-function analog-stochastic quantization allows to pass from processing the multi-bit digital samples of input and output signals to processing the integer time samples determined by the change of the result value of thequantization type in question. The main result is the development of numerical algorithms for sequential calculation of the impulse response function discrete samples. This algorithm does not require preliminary direct estimates calculation of the system input signal correlation function and input and output signal cross-correlation function.
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