This paper is devoted and intended to solve the problems of determining the precise separation efficiency and accurate prediction for the solid yield of multi-product cyclones based on existing experimental data. The influence of inlet pressure control on separation performance of multi-product cyclones is investigated. Hydrocyclone separation performance is influenced by many factors such as t...

In the present paper a Multi Input Multi Output (MIMO) source separation method for dynamic channels is proposed. The algorithm is based on second order statistics of the observed signals. A new separation structure, based on cofactors, is proposed with a parametrization such as to reduce the number of estimated parameters to a minimum. Simulations with the algorithm are presented.

Image deblurring aims to restore the detailed texture information or structures from blurry images, which has become an indispensable step in many computer vision tasks. Although various methods have been proposed deal with image problem, most of them treated as a whole and neglected characteristics different frequencies. In this paper, we present new method called multi-scale frequency separat...

We present a new quantization scheme for 2D gravity coupled to an SU(2) principal chiral field and a dilaton; this model represents a slightly simplified version of stationary axisymmetric quantum gravity. The analysis makes use of the separation of variables found in our previous work [1] and is based on a two-time Hamiltonian approach. The quantum constraints are shown to reduce to a pair of ...

This work proposed a new method for a gravity compensation using the noncircular pulley, cable driving, and spring balancer. The noncircular pulley is arranged in the front of one transmission chain. When the mechanism apply this method for the gravity compensation of some multi-DOF and multilink manipulator, it can be achieved that a perfect gravity balance and less number of springs. To obtai...

Building on the theory of causal discovery from observational data, we study interactions between multiple (sets of) random variables in a linear structural equation model with non-Gaussian error terms. We give correspondence structure higher-order cumulants and combinatorial graph. It has previously been shown that low rank covariance matrix corresponds to trek separation Generalizing this cri...