Generalized Asynchronous Systems

Bit Error Performance for Asynchronous Ds Cdma Systems Over Multipath Rayleigh Fading Channels (RESEARCH NOTE)

In recent years, there has been considerable interest in the use of CDMA in mobile communications. Bit error rate is one of the most important parameters in the evaluation of CDMA systems. In this paper, we develop a technique to find an accurate approximation to the probability of bit error for asynchronous direct–sequence code division multiple–access (DS/CDMA) systems by modeling the multipl...

Decentralized and Cooperative Multi-Sensor Multi-Target Tracking With Asynchronous Bearing Measurements

Bearings only tracking is a challenging issue with many applications in military and commercial areas. In distributed multi-sensor multi-target bearings only tracking, sensors are far from each other, but are exchanging data using telecommunication equipment. In addition to the general benefits of distributed systems, this tracking system has another important advantage: if the sensors are suff...

Cubical Sets are Generalized Transition Systems

We show in this article that \labelled" cubical sets (or Higher-Dimensional Automata) are a natural generalization of transition systems and asynchronous transition systems. This generalizes an older result of 14] which was only holding with precubical sets and subcat-egories of the classical (see 29]) categories of transition systems and asynchronous transition systems. This opens up new promi...

A Generalized Kahn Principle for Abstract Asynchronous Networks

Our general motivation is to answer the question: “What is a model of concurrent computation?”. As a preliminary exercise, we study dataflow networks. We develop a very general notion of model for asynchronous networks. The “Kahn Principle”, which states that a network built from functional nodes is the least fixpoint of a system of equations associated with the network, has become a benchmark ...

On the Convergence of the Generalized Asynchronous Multisplitting Block Two-stage Relaxation Methods for the Large Sparse Systems of Mildly Nonlinear Equations