It is researched a wide class of parametric estimations of power spectral density based on principle of entropy maximum and autoregression observation model. At that there is distinguished the key parameter which is used model order. It is considered a problem of a priori uncertainty when true value of order is a priori unknown. It is proposed a new criterion for definition of order using finite sampling volume with purpose of overcome of the drawbacks of existing algorithms in conditions of small sampling. The principle of guaranteed significance level in a problem of complex statistic hypothesis verification is a basic principle of this criterion. In contrast to criteria of AIC, BIC, etc. this criterion is not related to determination of measurements inaccuracy, since it uses a conception of “significance level” of formed solution only. The efficiency of proposed criterion is researched theoretically and experimentally. An example of its application in a problem of spectral analysis of voice signals is considered. Recommendations about its practical application in the systems of digital signal processing are given.
An algorithm for inverse modified Z-transform with delay is considered. The delay parameter is a fraction of the sampling period. The fractional part of the delay is computed as the solution of the equation representing the rational transfer function of continuous part
Models of nonlinear compensators for decreasing Total Harmonic Distorsions (THD) of loud-speakers are considered. Digital linearization is suggested as a diagram with internal feedback based on the inverse parallel Hammerstein model