In this paper, frequency offset (FO) estimation schemes robust to the non-Gaussian noise environments are proposed for orthogonal frequency division multiplexing (OFDM) systems. First, a maximum-likelihood (ML) estimation scheme in non-Gaussian noise environments is proposed, and then, the complexity of the ML estimation scheme is reduced by employing a reduced set of candidate values. In numer...

By using the underlying theory of proper scoring rules, we design a family noise-contrastive estimation (NCE) methods that are tractable for latent variable models. Both terms in NCE loss, one data samples and noise samples, can be lower-bounded as variational Bayes, therefore call this losses fully estimation. Variational autoencoders particular example also understood separating real from syn...

In spite of the existing reports on behavioural and biochemical changes related to the cerebellum due to noise stress, not much is known about the effect of noise stress on the neuronal changes in the cerebellum. The present study aims at investigating the effects from one week noise exposure on granule cell number and Purkinje cell volume within the neonate rat cerebellum.15-day-old male Wista...

High-resolution spectrum estimation techniques have been extensively studied in recent publications. Knowledge of the noise variance is vital for spectrum estimation from noise-corrupted observations. This paper presents the use of noise compensation and data extrapolation for spectrum estimation. We assume that the observed data sequence can be represented by a set of autoregressive parameters...

In this paper, we describe the implementation of three noise estimation algorithms using two different wavelet decomposition methods: Second-generation and Perceptual wavelet packet transform. The three-presented algorithms are: (a) smoothing based adaptive noise estimation, (b) quantile based noise estimation and (c) minimum variance tracking-based noise estimation These algorithms, which do n...