Pilot-Aided Sequential Monte Carlo Estimation of Phase Distortions and Transmitted Symbols in Multicarrier Systems

We consider in this paper the problem of phase offset and Carrier Frequency Offset (CFO) estimation for Low-Density Parity- Check (LDPC) coded systems.. We propose new blind

A methodological caveat is in order here. As ex- plained in §2.1, the acoustic model takes context into account. It is theoretically possible that the neural network learnt

This approach can be generalized to obtain a continuous CDF estimator and then an unbiased density estimator, via the likelihood ratio (LR) simulation-based derivative estimation

In this section, we study the error for the approximations Q n based on low-discrepancy point sets, and the variance of estimators obtained by randomizing these sets.. Hence in

To determine the proper number of particles experimentally, we plotted the average accuracy over 30 experiments with varying the number of particles and problem difficulty in

As an improvement, we use conditional Monte Carlo to obtain a smoother estimate of the distribution function, and we combine this with randomized quasi-Monte Carlo to further reduce

In Figure 2, we show a comparison (based on the Boston Housing data set explained in Section 6.1) between two Sequential Monte Carlo algorithms, using a product model q p and a

Many examples in the literature show that the EI algorithm is particularly interesting for dealing with the optimization of functions which are expensive to evaluate, as is often