Optimal smoothing in adaptive location estimation

Location-Adaptive Density Estimation

Optimal R-Estimation of a Spherical Location

In this paper, we provide R-estimators of the location of a rotationally symmetric distribution on the unit sphere of R. In order to do so we first prove the local asymptotic normality property of a sequence of rotationally symmetric models; this is a non standard result due to the curved nature of the unit sphere. We then construct our estimators by adapting the Le Cam one-step methodology to ...

Fuzzy Logic Adaptive Mobile Location Estimation

In this study, we propose a novel mobile tracking scheme which utilizes the fuzzy-based decision making with the consideration of the information such as previous location, moving direction and distance to the base station as well as received signal strength, thereby resulting to the estimation performance even much better than the previous schemes. Our scheme divides a cell into many blocks ba...

Adaptive blind channel estimation by least squares smoothing

A least squares smoothing (LSS) approach is presented for the blind estimation of single-input multiple-output (SIMO) finite impulse response systems. By exploiting the isomorphic relation between the input and output subspaces, this geometrical approach identifies the channel from a specially formed least squares smoothing error of the channel output. LSS has the finite sample convergence prop...

EMG Amplitude Estimation with Adaptive Smoothing Window Length

Typical EMG amplitude estimators use a fixed window length for smoothing the amplitude estimate. When the EMG amplitude is dynamic, varying the smoothing length as a function of time can produce a higher quality amplitude estimate. This paper develops and investigates (in simulation and experimentally) a new technique for adaptive window length estimation. The simulations suggest that the "best...