We present a new framework for robust estimation and inference on second-order stationary time series and random fields. This framework is based on the Generalized Method of Wavelet Moments which uses the wavelet variance to achieve parameter estimation for complex models. Using an M-estimator of the wavelet variance, this method can be made robust therefore allowing to estimate the parameters ...

A study to compare different methods of estimation was conducted. The goal was to provide an estimate for the number of petal colors existing in the field by using a random sample of Lycoris longituba flowers taken from the field. Three methods of estimation were used to estimate the actual number of the colors in the field. Using the variance analysis, the maximum number of colors was obtained...

This paper explores the problem of communicating high-quality, foveated video streams in real time. Foveated video exploits the nonuniform resolution of the human visual system by preferentially allocating bits according to proximity to assumed visual xation points, thus delivering perceptually high quality at greatly reduced bandwidths. Foveated video streams possess speci c data density prope...

Purpose – The purpose of this paper is to reduce the calculation burden and speed up the estimation process of Allan variance method while ensuring the exactness of the analysis results. Design/methodology/approach – A series of six-hour static tests have been implemented at room temperature, and the static measurements have been collected from MEMS IMU. In order to characterize the various typ...

This paper addresses asymptotically minimum variance (AMV) of parameter estimators within the class of algorithms based on second-order statistics for estimating parameter of strict-sense stationary complex circular processes. As an application, the estimation of the frequencies of cisoids for mixed spectra time series containing a sum of cisoids and an MA process is considered. r 2005 Elsevier...