This paper presents a new data−aided timing recovery algorithm for channels with data−dependent noise. Based on a data−dependent Gauss−Markov model of the noise, a maximum−likelihood timing recovery scheme is derived. The proposed timing recovery algorithm incorporates data−dependent noise prediction parameters in the form of linear prediction filters and prediction error variances. Moreover, b...

A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived. The detector assumes that the noise is an Auto-Regressive (AR) process with Gaussian autocorrelation function which is a suitable model for ground clutter in most scenarios involving airborne radars. The detector estimates the unknown...

Understanding why neural systems can process information extremely fast is a fundamental question in theoretical neuroscience. The present study investigates the effect of noise on accelerating neural computation. To evaluate the speed of network response, we consider a computational task in which the network tracks time-varying stimuli. Two noise structures are compared, namely, the stimulus-d...

Intensity modulation/direct detection (IM/DD) optical key distribution (OKD) is a method to generate secret whose security against passive eavesdropping guaranteed by the shot noise inherent photodetection process. Here effects of intensity-dependent symbol shape distortion on IM/DD OKD are investigated assuming that eavesdropper can implement temporal mode demultiplexing using e.g. quantum pul...

In this paper, a novel method based on a combination of Extended Kalman Filter (EKF) with Self-adaptive Differential Evolution (SaDE) algorithm to estimate rotor position, speed and machine states for a Permanent Magnet Synchronous Motor (PMSM) is proposed. In the proposed method, as a first step SaDE algorithm is used to tune the noise covariance matrices of state noise and measurement noise i...

Considering discrete-time linear time-varying systems with unknown dynamics, controllers guaranteeing bounded closed-loop trajectories, optimal performance and robustness to process measurement noise are designed via convex feasibility optimisation problems involving purely data-dependent matrix inequalities. For the special case of periodically systems, infinite-horizon guarantees achieved bas...

In the field of speaker verification (SV), development noise-robust systems is a challenge for their deployment in real-world environments. Noise variability compensation common strategy increasing robustness to noise variations. The performance depends on how well variability, which inherent within-class estimated. However, date, there no information about true that could reduce gap between em...

Time-varying fractionally differenced (TVFD) processes can serve as useful models for certain time series whose statistical properties evolve over time. A TVFD process can be taken to have a spectral density function that obeys a power law at low frequencies with a time-varying exponent. In contrast to locally stationary or locally self-similar processes, the power law exponent for a TVFD proce...