Software defined radio (SDR) is emerging as a powerful platform for future generation cellular systems, due to its capability to operate conforming to multiple mobile radio standards. Channelizer in an SDR operates at the highest sampling rate and hence a low complexity design is needed for the most computationally intensive part of the SDR receiver. The channel filters in the channelizer extra...

Designing an efficient sampling scheme for a rare and clustered population is a challenging area of research. Adaptive cluster sampling, which has been shown to be viable for such a population, is based on sampling a neighborhood of units around a unit that meets a specified condition. However, the edge units produced by sampling neighborhoods have proven to limit the efficiency and applicabili...

the purpose of the present study was to determine gender differences in the language development and skills of first grade students of primary schools in marivan-iran. to do this, 260 first grade students (140 males and 120 females) were chosen by multi stage cluster sampling and stratified random sampling methods among the first grade students in elementary schools in the 2011-2012 academic ye...

Occupational exposure to crystalline silica is a well-established occupational hazard. Once in the lung, crystalline silica particles can result in the activation of alveolar macrophages potentially leading to silicosis, a fibrotic lung disease. Because the activation of alveolar macrophages is the beginning step in a complicated inflammatory cascade, it is necessary to define the particle char...

Survey data are often collected with unequal probabilities from a stratified population. In many modelling situations, the parameter of interest is a subset of a set of parameters, with the others treated as nuisance parameters. We show that in this situation the empirical likelihood ratio statistic follows a chi-squared distribution asymptotically, under stratified single and multi-stage unequ...

Discrete event simulation systems (DESS) are widely used in many diverse areas such as computer-communication networks, exible manufacturing systems, project evaluation and review techniques (PERT), and ow networks. Because of their complexity , such systems are typically analyzed via Monte Carlo simulation methods. This paper deals with optimization of complex computer simulation models involv...