Now showing items 1-4 of 4
A universal hidden Markov tree image model
Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint density of the wavelet coefficients ...
Robot reliability through fuzzy Markov models
In the past few years, new applications of robots have increased the importance of robotic reliability and fault tolerance. Standard approaches of reliability engineering rely on the probability model, which is often ...
Statistical characterization of sensors for sensor fusion
It is standard practice in advanced telerobotic systems to use a detailed model of the operating environment to plan tasks and drive simulations. How well these systems operate is highly dependent upon the accuracy of this ...
Code design and multiuser detection for code division multiple access systems with continuous phase modulation
The proliferation of wireless communications services combined with the limited spectrum availability have placed the bandwidth utilization as a major performance measure. Consequently, the bandwidth allocation technique ...