Robert van Nobelen

Learn More
Hidden Markov models (HMM’s) are a powerful tool for modeling stochastic random processes. They are general enough to model with high accuracy a large variety of processes and are relatively simple allowing us to compute analytically many important parameters of the process which are very difficult to calculate for other models (such as complex Gaussian(More)
The majority of previous analytical studies of signdspace coding techniques (includes trellis and block codes) on the Rayleigh-fading channel have assumed ided interleaving. The effect of finite interleaving on the performance of different coding schemes has been studied only by simulation. In this paper we first derive a maximum likelihood (ML) decoder for(More)
  • 1