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FREQUENCY DISPERSION SIGNAL THE DIGITAL INFINITE

IMPULSE RESPONSE FILTER

V.N. Bugrov1, V.I. Proidakov2, N.S. Morozov1

Annotation: The simulation and development infinite impulse response (IIR) of digital filters, synthesis on the basis of the numerical methods of integer nonlinear mathematical programming (INMP), taking into account the possibilities of their practical realization on microprocessor controllers are considered. The problem statement and solution the investigation frequency dispersion signal of multifunctional synthesis digital IIR-filters, designed on authoring INMP-program, are given.

Доклад отмечен наградой «За актуальность предложенных решений».

 

Ссылка на скачивание конференции: СКАЧАТЬ

 

 

 

SYNTHESIS OF DIGITAL FILTERS

BY METHODS OF INTEGER NONLINEAR PROGRAMMING

V.N. Bugrov, V.I. Proidakov, V.V. Artemev

The simulation and development both infinite impulse response (IIR), and finite impulse response (FIR) of filters taking into account the possibilities of their practical realization on microprocessor controllers are considered. The problem statement and solution of multifunctional synthesis of digital filters such problems on the basis of the numerical methods of integer nonlinear mathematical programming are given.

Keyword: the digital INP-filter, multifunctional synthesis, integer nonlinear programming, criterion function, quantization error, simulation.

Ссылка на скачивание конференции: СКАЧАТЬ

 

 

 

 

AN AUTOCORRELATION FUNCTION OF THE FUNCTIONAL TRANSFORMATION

OF THE SUM THE 2π-PERIODIC EXTENSION OF A DETERMINISTIC SIGNAL AND

A STATIONARY RANDOM PROCESS

V.I. Proidakov

A proof is given for stationarity of the autocorrelation function of the functional (nonlinear, inertialess) transformation of the sum of the 2π-periodic extension of a deterministic signal  and a stationary random process . An autocorrelation function formula for the deterministic signal has been derived in the form of Nth partial sum of the Fourier series.

The validity and reliability of formulas presented in [5, 7] are confirmed. A comparison of autocovariance coefficients obtained by numerical calculations (using these formulas) and experimentally (using periodograms, a nonparametric estimate of the spectral density, for functional transformation of truncated quantization error of the generated deterministic numerical series) has shown that they coincide within the margin of error.

Keywords: correlation function, functional transformation, Nth partial sum of the Fourier series, quantization error, simulation.

 

Ссылка на скачивание конференции: СКАЧАТЬ

 

 

 

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