Abstract Phase retrieval in dynamical sampling is a novel research direction, where an unknown signal has to be recovered from the phaseless measurements with respect frame, i.e., sequence of vectors constructed by repeated action operator. The loss phase here turns well-posed into severe ill-posed inverse problem. In existing literature, involved operator usually completely known. this paper, ...

Background: Highly vascular tissue is a combination of solid and fluid components. The interaction between these two phases during deformation creates a viscoelastic or rate‐dependent behavior. To understand how fluid and solid components contribute to the injury response of liver tissue, a constitutive model is needed which reflects the biphasic nature of the material. This study aims to captu...

Introduction The quality of voltage waveforms is nowadays an issue of the utmost importance for power utilities, electric energy consumers and also for the manufactures of electric and electronic equipment. The proliferation of nonlinear loads connected to contemporary power systems has triggered a growing concern with power quality issues. The inherent operation characteristics of these loads ...

In this paper, we study the nonlinear inverse problem of estimating spectrum a system matrix, that drives finite-dimensional affine dynamical system, from partial observations single trajectory data. noiseless case, prove an annihilating polynomial whose roots are subset spectrum, can be uniquely determined We then which eigenvalues matrix recovered and derive various sufficient necessary condi...