Statistical estimation theory determines the optimal way of estimating parameters of a fluctuating noisy signal. However, if the estimation is performed on unreliable hardware, a sub-optimal estimation procedure can outperform the previously optimal procedure. Here, we compare classes of circadian clocks by viewing them as phase estimators for the periodic day-night light signal. We find that c...

Frequency synchronization is vital issue in execution of OFDM system. In this paper we proposed a technique to estimate and compensate CFO in frequency domain. Estimation is based on Comb-type pilot sequence, which can measure phase rotation of received signal pass through fading channel. Performance of proposed scheme is evaluated on basis of MSE and BER. CFO estimation can be computed by pilo...

The use of phase-shifting interferometry (PSI) in the ultra-low-light region would open way for important applications, such as imaging phototoxic substances and sensing ultrafast phenomena. In region, statistical nature photons can be a dominant source noise compared with other caused by experimental instruments. Here we theoretically derive precision limit determined simultaneously measuring ...

This paper proposes a new approach for the analysis of reconstructed interference fields in digital holographic interferometry. In the proposed approach the interference phase to be estimated is conceived as a piecewise polynomial signal; consequently, each segment of the reconstructed interference field is modeled as a polynomial phase signal (PPS) with constant or slowly varying amplitude. Un...

Quantummetrology offers a quadratic advantage over classical approaches to parameter estimation problems by utilising entanglement and nonclassicality. However, the hurdle of actually implementing the necessary quantumprobe states andmeasurements, which vary drastically for different metrological scenarios, is usually not taken into account.We show that for awide range of tasks in metrology, 2D...

A Phase I estimator of the dispersion should be efficient under in-control data and robust against contaminations. Most estimation methods proposed in the literature are either efficient or robust against either sustained shifts or scattered disturbances. In this article, we propose a new estimation method of the dispersion parameter, based on exponentially weighted moving average charting, whi...