In the one-parameter regression model with AR(1) and AR(2) errors we find explicit expressions and a continuous approximation of the optimal discrete design for the signed least square estimator. The results are used to derive the optimal variance of the best linear estimator in the continuous time model and to construct efficient estimators and corresponding optimal designs for finite samples.

A novel hybrid channel estimator is proposed for multiple-input multiple-output orthogonal frequencydivision multiplexing (MIMO-OFDM) system with per-subcarrier transmit antenna selection having optimal power allocation among subcarriers. In practice, antenna selection information is transmitted through a binary symmetric control channel with a crossover probability. Linear minimum mean-square ...

A new robust clustering algorithm, called generalized annealing M-estimator (GAM-estimator), is proposed. Initialized with multiple seeds, the GAM-estimator converges to several optimal cluster centers. Neither knowledge about the number of clusters nor scale is needed. The global optimal solution of clustering is achieved by minimization of an objective function. The algorithm is applied to un...

In this paper we propose an optimal quad tree QT based motion estimator for video compression It is optimal in the sense that for a given bit budget for encoding the displacement vector eld DVF and the QT segmentation the scheme nds a DVF and a QT segmentation which minimizes the energy of the resulting displaced frame di erence DFD We nd the optimal QT decomposition and the optimal DVF jointly...

Kernels of wild-type maize (Zea mays L.) shrunken-1 (sh1), deficient in the predominant form of endosperm sucrose synthase and shrunken-2 (sh2), deficient in 95% of the endosperm ADP-glucose pyrophosphorylase were grown in culture on sucrose, glucose, or fructose as the carbon source. Analysis of the endosperm extracts by gas-liquid chromatography revealed that sucrose was present in the endosp...

We have recently shown that eye movements have an effect on lightness estimation of real objects. Observers tended to fixate points with above-average luminance and they overestimated the objects’ lightness. The matched lightness was higher when observers were forced to fixate a bright region of the object than when they fixated a darker region. In the present work we performed a simulation wit...

Abstract Compressed Counting (CC) was recently proposed for very efficiently computing the (approximate) αth frequency moments of data streams, where 0 < α ≤ 2. Several estimators were reported including the geometric mean estimator, the harmonic mean estimator, the optimal power estimator, etc. The geometric mean estimator is particularly interesting for theoretical purposes. For example, when...

The often-used success rate (SR) in measuring cell-based landslide model efficiency is based on the ratio of successfully predicted unstable cells over total actual landslide sites without considering the performance in predicting stable cells. We proposed a modified SR (MSR), in which we include the performance of stable cell prediction. The 5 goal and virtue of MSR is to avoid over-prediction...