Add to ORKGInvestigation of consistency is performed for the least-squares estimate of the mean value and correlation function of polyrhythmic signals. The criteria of asymmetric nonbias of the correlation function are formulated. An example of processing of a polyrhythmic signal is presented
Analysis of discrete estimates of bi-periodically correlated random processes (BPCRP)—mathematical m...
Abstract. In this paper, we study a model which exhibits burst-type features such as ECG signals, un...
A simple algorithm is developed for unbiased parameter identification of autoregressive (AR) signals...
AbstractThe least squares estimate methods for estimation of characteristics of almost periodically ...
The properties of least-squares estimates of mathematical expectations and correlation function of p...
A computationally e±cient algorithm is proposed for estimating the parameters of sinusoidal signals ...
The objective of this dissertation research was to investigate accurate spatial estimation of the 12...
Chirp signal, least squares estimators, asymptotic distribution, consistent estimators,
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Regression analysis is a huge part of mathematical and applied statistics. Nonlinear regression anal...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Analysis of discrete estimates of bi-periodically correlated random processes (BPCRP)—mathematical m...
Abstract. In this paper, we study a model which exhibits burst-type features such as ECG signals, un...
A simple algorithm is developed for unbiased parameter identification of autoregressive (AR) signals...
AbstractThe least squares estimate methods for estimation of characteristics of almost periodically ...
The properties of least-squares estimates of mathematical expectations and correlation function of p...
A computationally e±cient algorithm is proposed for estimating the parameters of sinusoidal signals ...
The objective of this dissertation research was to investigate accurate spatial estimation of the 12...
Chirp signal, least squares estimators, asymptotic distribution, consistent estimators,
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Regression analysis is a huge part of mathematical and applied statistics. Nonlinear regression anal...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Analysis of discrete estimates of bi-periodically correlated random processes (BPCRP)—mathematical m...
Abstract. In this paper, we study a model which exhibits burst-type features such as ECG signals, un...
A simple algorithm is developed for unbiased parameter identification of autoregressive (AR) signals...