An approach to the deconvolution of blurred images in additive noise is presented. This approach is based on the use of noise moment and range constraints within a Lagrange optimization framework. Two types of noise moment constraints are examined: standard moments and probability weighted moments. In addition, the range constraints are enforced via an auxiliary mapping such that the optimizati...

Abstract One of the most fundamental probabilities is probability at a particular point. The local limit theorem well-known that estimates this probability. In paper, we estimate by density function normal distribution in case lattice integer-valued random variables. Our technique characteristic method. We complete to relax third moment condition Siripraparat and Neammanee (J. Inequal. Appl. 20...

Often when modelling systems, physical constraints on the resources available are needed. For example, we might say that at most N processes can access a particular resource at any moment or exactly M participants are needed for an agreement. Such situations are concisely modelled where propositions are constrained such that at most N , or exactly M , can hold at any moment in time. This paper ...

Unit quaternion is an ideal parameterization for joint rotations. However, due to the complexity of the geometry of S group, it’s hard to specify meaningful joint constraints with unit quaternion. In this paper, we have proposed an effective and accurate method to specify the rotation limits for joints parameterized with the unit quaternion. Joint constrains constructed with our method are adeq...

This paper presents an edge-based admission control scheme for Differentiated Services (DiffServ) networks. In our scheme, admission control decisions are performed at the edge routers according to the core router’s available resource information obtained by sending probing packets along the selected routing path. The scheme consists of four elements: (1) local measurement, (2) available bandwi...

When modelling realistic systems, physical constraints on the resources available are often required. For example, we might say that at most N processes can access a particular resource at any moment, exactly M participants are needed for an agreement, or an agent can be in exactly one mode at any moment. Such situations are concisely modelled where literals are constrained such that at most N ...