High Peak to Average Power Ratio (PAPR) is still a most important challenge in Orthogonal Frequency Division Multiplexing (OFDM) system. This paper proposes a modified Partial Transmit Sequence (PTS) technique which acquires its phase weighting factors from the Paley-I type Hadamard matrices with an objective to reduce the high PAPR in OFDM systems. The proposed technique achieves better PAPR r...

In this paper an unconventional, simple BPSK demodulator is proposed. Complexity of the conventional BPSK demodulator is reduced by utilizing a l-bit Analog-to-Digital (A/D) converter front-end. The optimal detection rule is derived for BPSK signals going through the l-bit A/D front-end. The key element of the optimal demodulation process is a pair of weighting factors that act as phase referen...

Introduction: Many studies have shown the effects of delivered dose distribution due to the incident photon energy on the tumor and healthy tissues. The ability to access the most appropriate radiation energy is essential to achieve the optimal treatment planning but there is a serious limitation in number of energies available on radiation therapy machines can restrict it. <s...

In this paper, we propose a new hybrid model of artificial neural networks (ANNs) and genetic algorithm (GA) to optimal feature transformation and feature weighting. Previous research proposed several variants of hybrid ANNs and GA models including feature weighting, feature subset selection and network structure optimization. Among the vast majority of these studies, however, ANNs did not lear...

Partial Transmit Sequence (PTS) is a promising technique to reduce Peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However optimum PTS (OPTS) needs exhaustive search over all combinations of allowed phase weighting factors. It results in high computational complexity. Grouping Phase Weighting (GPW) technique is a method which has reduced computat...

We review weighting adjustment methods for panel attrition and suggest approaches for incorporating design variables, such as strata, clusters, and baseline sample weights. Design information can typically be included in attrition analysis using multilevel models or decision tree methods such as the chi-square automatic interaction detection algorithm. We use simulation to show that these weigh...

Existing cluster-based methods for investigating insect species assemblages or profiles of a region to indicate the risk of new insect pest invasion have a major limitation in that they assign the same species risk factors to each region in a cluster. Clearly regions assigned to the same cluster have different degrees of similarity with respect to their species profile or assemblage. This study...