… use of Second-Order Blind Identification is proposed. It is applied to a number of case studies
in order … Results demonstrate that it can model the variability of natural frequency estimates …

… To accomplish such a separation, one can use several implicit features on the sources. In
this work, Second Order Statistics (SOS) will be used. The unknown and the known parts of the …

… obtained through the spectral density of Gaussian sources, being named Gaussian Mutual
Information (GMI) [1], [21], [22], and the temporal-extended covariance matrices were used in …

… The accuracy of the blind identification results is assessed through comparisons with a
well-established input–output identification method, namely, a well-known combination of the …

… identification. In this paper, an adaptive noise attenuation scheme based on singular spectrum
analysis (SSA) … It is noteworthy that such a scheme is not imperative for signals with a high …

… also used in the issue of blind identification of linear systems … Comparative study between
blind identification algorithms and … Identification and equalization using higher order cumulants …

… using several simulation based studies, and compared to the popular Second-Order Blind
Identification … It is also noted that even some non-stationary response data can be analyzed by …

… Our goal is to use the blind graph-filter identification methods to identify the sources of the
epidemic outbreak. Even though this model entails non-linear and stochastic dynamics, its …

… the show-through effect, and analysis of gas … nonlinear mixing models, associated separating
structures and methods in terms of blind source separation and blind mixture identification, …

… BSS was originally used to recover special source components from the measured data,
and second-order blind identification (SOBI) is used to solve the BSS problem (Antoni 2005). …