This paper considers the derivative of the entropy rate of a hidden Markov process with respect to the observation probabilities. The main result is a compact formula for the derivative that can be evaluated easily using Monte Carlo methods. It is applied to the problem of computing the capacity of a finite-state channel (FSC) and, in the high-noise regime, the formula has a simple closed-form ...

This work aims at proposing a higher-order moments analysis, in order to obtain an effective characterisation (in a Non-Gaussian sense) of the global DS/CDMA noise in case of few-user systems and short spreading codes. The use of the Edgeworth series expansion, whose terms are directly linked with the statistical cumulants allows to reach a good approximation of the unknown probability density ...

In this paper, an exact series representation for a nearfield spherically isotropic noise model is introduced. The methodology uses the spherical harmonics expansion of the wavefield at a sensor to obtain the correlation between two sensors due to the nearfield isotropic noise field. The result is useful in nearfield application of sensor arrays. The proposed noise model can be utilized effecti...

The small-loss criterion is widely used in recent label-noise learning methods. However, such a only considers the loss of each training sample mini-batch but ignores distribution whole set. Moreover, selection clean samples depends on heuristic data rate. As result, some noisy-labeled are easily identified as ones, and vice versa. In this paper, we propose novel yet simple method, which mainly...

heat exchangers are the critical components of refrigeration and liquefaction processes. selection of appropriate operational conditions for cryogenic recuperative heat exchanger and expansion valve operating in joule-thomson cooling system results in improving the performance and efficiency. in the current study, a straightforward procedure is introduced to design an efficient joule-thomson co...