Residual Cigarette Recycle System Spectrum Switching Based on Markov Model

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

The Impact of Financial Market Fluctuations on Financial Instability in the Iranian Economy: The Wavelet based Markov Switching Model

In this study, the effect of fluctuations of asset markets (exchange rate, oil price and stock market index) on financial instability index over a period of 1388-1397 monthly is investigated by using the Markov Switching model. The wavelet transform model is used to extract exchange rate fluctuations, oil prices and stock market index. The results show that the effect of exchange rate fluctuati...

Lecture on the Markov Switching Model

Advanced High-order Hidden Bivariate Markov Model Based Spectrum Prediction

The majority of existing spectrum prediction models in Cognitive Radio Networks (CRNs) don’t fully explore the hidden correlation among adjacent observations. In this paper, we first develop a novel prediction approach termed high-order hidden bivariate Markov model (H2BMM) for a stationary CRN. The proposed H2BMM leverages the advantages of both HBMM and high-order, which applies two dimension...

Hidden Markov model based spectrum sensing for cognitive radio

HIDDEN MARKOV MODEL BASED SPECTRUM SENSING FOR COGNITIVE RADIO Thao Tran Nhu Nguyen, Ph.D. George Mason University, 2013 Dissertation Co-director: Dr. Brian L. Mark Dissertation Co-director: Dr. Yariv Ephraim Cognitive radio is an emerging technology for sensing and opportunistic spectrum access in wireless communication networks. It allows a secondary user to detect under-utilized spectrum of ...