Joint detection and tracking is fundamentally important in signal processing, navigation, radar applications. Especially, multitarget multipath environments a promising issue broadening range for joint tracking. However, its wide adoption real world systems challenged by the unknown data association, complex changeable motion environment, mutual coupling. To address those problems, we propose s...

| We investigate multiuser signal detection with a base-station antenna array for synchronous CDMA Rayleigh fading uplink channels. We have developed a discrete-time model that enables the formulation of a spatial-temporal decorrelating detector using the maximum-likelihood criterion. The detector is shown to be near-far resistant. We further propose to implement the spatial-temporal decorrelat...

We present a new approach to inferring a probability distribution which is incompletely specified by a number of linear constraints. We argue that the currently most popular approach of entropy maximization depends on a “constraints as knowledge” interpretation of the constraints, and that a different “constraints as data” perspective leads to a completely different type of inference procedures...

The binomial and the Poisson distributions are shown to be maximum entropy distributions of suitably defined sets. Poisson’s law is considered as a case of entropy maximization, and also convergence in information divergence is established.

With the development of computer network bandwidth, packet classification algorithms which are able to deal with large-scale rule sets are in urgent need. Among the existing algorithms, researches on packet classification algorithms based on hierarchical trie have become an important packet classification research branch because of their widely practical use. Although hierarchical trie is benef...

In this paper we present a new algorithm for seg-mentation of noisy or textured images using the expectation -maximization (EM) algorithm for estimating parameters of the probability mass function of the pixel class labels and the maximization of the posterior marginals (MPM) criterion for the segmentation operation. A Markov random eld (MRF) model is used for the pixel class labels. We present...