On the modeling of a realistic wireless channel by means of a Hidden Markov Process

2012 ◽  
Author(s):  
David Gomez ◽  
Ramon Aguero ◽  
Marta Garcia-Arranz ◽  
Luis Munoz
Keyword(s):  
Markov Process ◽  
Hidden Markov ◽  
Wireless Channel ◽  
Hidden Markov Process

Modeling Markers of Disease Progression by a Hidden Markov Process: Application to Characterizing CD4 Cell Decline

Biometrics ◽  
2000 ◽  
Vol 56 (3) ◽  
pp. 733-741 ◽  
Author(s):  
Chantal Guihenneuc-Jouyaux ◽  
Sylvia Richardson ◽  
Ira M. Longini
Keyword(s):  
Markov Process ◽  
Disease Progression ◽  
Hidden Markov ◽  
Cell Decline ◽  
Hidden Markov Process ◽  
Cd4 Cell

scholarly journals Interacting default intensity with a hidden Markov process

2016 ◽  
Vol 17 (5) ◽  
pp. 781-794 ◽  
Author(s):  
Feng-Hui Yu ◽  
Wai-Ki Ching ◽  
Jia-Wen Gu ◽  
Tak-Kuen Siu
Keyword(s):  
Markov Process ◽  
Hidden Markov ◽  
Default Intensity ◽  
Hidden Markov Process

scholarly journals Signal Analysis on Strings for Immune-Type Pattern Recognition

2004 ◽  
Vol 5 (1) ◽  
pp. 69-74 ◽  
Author(s):  
Nikolaos D. Atreas ◽  
Costas Karanikas ◽  
Persefoni Polychronidou
Keyword(s):  
Pattern Recognition ◽  
Markov Process ◽  
Finite Length ◽  
Signal Analysis ◽  
Hidden Markov ◽  
New Approaches ◽  
Discrete Transforms ◽  
Type Pattern ◽  
Hidden Markov Process ◽  
Process Detection

We use wavelet-type discrete transforms for signal analysis on strings of finite length. We apply these transforms for edge and hidden Markov process detection. We also present new approaches for string matching and for measures of the diversity of chaotic strings.

A poisson process whose rate is a hidden Markov process

1982 ◽  
Vol 14 (1) ◽  
pp. 21-36 ◽  
Author(s):  
D. S. Freed ◽  
L. A. Shepp
Keyword(s):  
Markov Process ◽  
Poisson Process ◽  
Likelihood Ratio ◽  
Simple Formula ◽  
Hidden Markov ◽  
The State ◽  
Output Rate ◽  
Event Stream ◽  
Hidden Markov Process

Let a Poisson process be observed whose output rate is one of two levels given by the state of an unseen Markov process. If one of the levels is 0, a simple formula is given for the best guess of the state at any instant based on the stream of past Poisson events. In other cases bounds are given for the likelihood ratio of the state probabilities given the event stream.

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