In this paper, a new method for the separation of noise categories based on Four-Wave Mixing is presented. The theoretical analysis grounded in Gaussian Noise model and verified by split step simulations. react differently to introduced perturbations, performing set perturbations behaviour different can be separated means least-square fitting. Given ASE independent induced it possible separate ...

In this work another perturbation estimation sliding mode based control algorithm is introduced for a class of robotic systems in the presence of structured and unstructured uncertainties and external disturbances. The effects of these uncertainties are combined into a single quantity. The full order plant with the actuator voltages as control inputs is assumed in control design. The decentrali...

A simple technique of designing a robust model reference discrete-time variable structure output tracking controller for a class of perturbed MIMO linear systems is proposed in this paper. Both an adaptive mechanism and a perturbation estimation process are embedded in the proposed control scheme so that the upper bound of the perturbation estimation error is not required. It is shown that the ...

A perturbation theory for the Nonlinear Schrödinger Equation (NLSE) in 1D on a lattice was developed. The small parameter is the strength of the nonlinearity. For this purpose secular terms were removed and a probabilistic bound on small denominators was developed. It was shown that the number of terms grows exponentially with the order. The results of the perturbation theory are compared with ...

Solutions to the structure from motion problem have been shown to be very sensitive to measurement noise and the respective motion and geometry configuration. Statistical error analysis has become an invaluable tool in analyzing the sensitivity phenomenon. This paper presents a unifying approach to the problems of statistical bias, correlated noise, choice of error metrics, geometric instabilit...

Introduction This extended abstract summarizes a methodology along with the experimental results to adaptively reduce timevarying lateral tape motion (LTM) in a Linear Tape-Open (LTO) drive. For the adaptive regulation, the LTO actuator dynamics is modeled with a Linear Time Invariant (LTI) model and control of time-varying LTM disturbances is done via an adaptable linear feedback controller. A...

Data perturbation techniques are one of the most popular models for privacy-preserving data mining due to their practical utility [1]. In a typical data perturbation, before the data owner publishes the data, they randomly change the data in certain way to disguise the private information while preserving some statistical properties for obtaining meaningful data mining models. Agrawal and Harit...