This note focuses on estimating the quantile function based on the kernel smooth estimator under a truncated dependent model. The Bahadurtype representation of the kernel smooth estimator is established, and from the Bahadur representation it can be seen that this estimator is strongly consistent.

A method estimating motion and planar surface parameters based on pixel intensity is proposed. Conventional approaches for estimation of these parameters are based on detected edge or feature points correspondence. Thus the problem is one of searching for any point which corresponds to feature points in other images. These approaches provide a solution from sparse points, however the shape cann...

Autonomous Underwater Vehicles (AUVs) are suitable for underwater observation, since they can swim freely without an umbilical cable. This paper proposes a robust navigation method for AUVs operating around artificial structures such as piers, quays and breakwaters. This method consists of a State Estimator and a Guidance System, enabling localization in the configuration map as well as followi...

We investigate the three-point functions of the weak lensing cosmic shear, using both analytic methods and numerical results from N-body simulations. The analytic model, an isolated dark matter halo with a powerlaw profile chosen to fit the effective index at the scale probed, can be used to understand the basic properties of the eight three-point functions observed in simulations. We use this ...

In this paper, a novel stator current based Model Reference Adaptive System (MRAS) estimator for speed estimation in the speed-sensorless vector controlled induction motor drives is presented. In the proposed MRAS estimator, measured stator current of the induction motor is considered as a reference model. The estimated stator current is produced in an adjustable model to compare with the measu...

In this paper an estimator for speech enhancement based on Laplacian Mixture Model has been proposed. The proposed method, estimates the complex DFT coefficients of clean speech from noisy speech using the MMSE  estimator, when the clean speech DFT coefficients are supposed mixture of Laplacians and the DFT coefficients of  noise are assumed zero-mean Gaussian distribution. Furthermore, the MMS...

Assuming a first-order auto-regressive model for the auto-correlation structure between observations, in this paper, a transformation method is first employed to eliminate the effect of auto-correlation. Then, a maximum likelihood estimator (MLE) of a step change in the parameters of the transformed model is derived and three separate EWMA control charts are used to monitor the parameters of th...

Combining redshift and galaxy shape information offers new exciting ways of exploiting the gravitational lensing effect for studying the large scales of the cosmos. One application is the three-dimensional reconstruction of the matter density distribution which is explored in this paper. We give a generalisation of an already known minimum-variance estimator of the 3-D matter density distributi...

Sometimes the relationship between dependent and explanatory variable(s) known as profile is monitored. Simple linear profiles among the other types of profiles have been more considered due to their applications especially in calibration. There are some studies on the monitoring them when the observations within each profile are autocorrelated. On the other hand, estimating the change point le...

As an important piece of the multi-tier computing architecture for future wireless networks, over-the-air computation (OAC) enables efficient function in multiple-access edge computing, where a fusion center aims to compute data distributed at devices. Existing OAC relies exclusively on maximum likelihood (ML) estimation recover arithmetic sum transmitted signals from different ML estimation, h...