This paper addresses the problem of finding an analytical expression for end-to-end Average Bit Error Rate (ABER) in multihop Decode-and-Forward(DAF) routes within context wireless networks. We provide recursive most generic case any number hops and single-hop ABER every hop route. Then, we solve relationship two scenarios to obtain simple expressions ABER, namely: (a) The simplest case, where all relay channels have identical statistical behaviour; (b) general channel has a different...

Efficient design of cognitive radios (CRs) calls for secondary users implementing adaptive resource allocation schemes that exploit knowledge the channel state information (CSI), while at same time limiting interference to primary system. This paper introduces stochastic algorithms both interweave (also known as overlay) and underlay radio paradigms. The are designed maximize weighted sum-rate orthogonally transmitting under average-power probabilistic constraints. latter formulated either...

Indoor location systems based on IEEE 802.11b (WiFi) mobile devices often rely the received signal strength indicator to estimate user position. Two key characteristics of these have not yet been fully analyzed, namely, temporal and spatial sampling process required adequately describe distribution electromagnetic field in indoor scenarios; device calibration, necessary for supporting different within same system. By using a previously proposed nonparametric methodology system comparison, we...

Most rural areas in developing countries are isolated due to the lack of appropriate low-cost communication technologies. Previous experiences have shown that IEEE 802.11 can be used for deployment large static mesh networks with only minor changes MAC layer enable WiFi transceivers work properly even very long distances (up 100 km point links, and almost 40 multipoint setups). However, impact distance on performance such links has not been deeply analyzed. In addition, previous analytical...

Algorithms that jointly allocate resources across different layers are envisioned to boost the performance of wireless systems. Recent results have revealed two most important parameters critically affect resulting cross-layer designs channel- and queue-state information (QSI). Motivated by these results, this paper relies on stochastic convex optimization develop optimal algorithms use instantaneous fading queue length at transport (flow-control), link, physical layers. Focus is placed a...

Indoor location (IL) using received signal strength (RSS) is receiving much attention, mainly due to its ease of use in deployed IEEE 802.11b (Wi-Fi) wireless networks. Fingerprinting the most widely used technique. It consists estimating position by comparison a set RSS measurements, made mobile device, with database measurements whose locations are known. However, convenient data structure be and actual performance proposed fingerprinting algorithms still controversial. In addition,...

Fast and accurate quality estimation of the electrocardiogram (ECG) signal is a relevant research topic that has attracted considerable interest in scientific community, particularly due to its impact on tele-medicine monitoring systems, where ECG collected by untrained technicians. In recent years, number studies have addressed this topic, showing poor performance discriminating between clinically acceptable unacceptable records.This paper presents novel, simple algorithm estimate 12-lead...

Energy efficiency has been a leading issue in Wireless Sensor Networks (WSNs) and produced vast amount of research. Although the classic tradeoff between quality gathered data versus lifetime network, most works gave preference to an increased network at expense quality. A common approach for energy is partitioning into clusters with correlated data, where representative nodes simply transmit or average measurements inside cluster. In this paper, we explore joint use in-network processing...

We discuss a new approach to self-organization that leads novel adaptive algorithms for generalized eigen-decomposition and its variance single-layer linear feedforward neural network. First, we derive two iterative discriminant analysis (LDA) by utilizing constrained least-mean-squared classification error cost function, the framework of two-layer heteroassociative network performing one-of-m classification. By using concept deflation, are able find sequential versions these which extract...

In this paper, a non-adaptive and novel adaptive energy management strategy (EMS) are proposed for series hybrid electric bus with dual storage system (ESS) combining batteries supercapacitors. The scenario considers the (genset+dual ESS) full-electric (only operation during daily journey. main goal of paper is to highlight improvements that can be achieved either an enhanced EMS (fuzzy-based) compared (rule-based) approach as well co-optimization ESS sizing targets in economic, fuel saving,...

Blind space-time RAKE receivers for classical DS-CDMA that cancel strong multiuser access interference while optimally combining the desired user's multipath are presented. The delay spread is assumed to be fraction of a symbol interval as in IS-95 CDMA standard. post-correlation segmented into which encompasses fingers and away from fingers. signal-plus-interference alone correlation matrices estimated during former latter, respectively. Reduced-dimension investigated alleviation...

Emerging applications involving low-cost wireless sensor networks motivate well optimization of multi-user orthogonal frequency-division multiple access (OFDMA) in the power-limited regime. In this context, present paper relies on limited-rate feedback (LRF) sent from point to terminals minimize total average transmit-power under individual rate and error probability constraints. Along with characterization optimal bit, power subcarrier allocation policies based LRF, suboptimal yet simple...

Aim: We investigated the prevalence and most relevant features of nonalcoholic steatohepatitis (NASH), a stage fatty liver disease, (NAFLD) in which inflammation hepatocytes can lead to increased cardiovascular risk, fibrosis, cirrhosis, need for transplant. Methods: analyzed data from 2239 hypertensive patients using descriptive statistics supervised machine learning algorithms, including least absolute shrinkage selection operator random forest classifier, select NASH. Results: The NASH...

Aim: The primary objective of our research was to compare the performance data analysis predict vitamin D deficiency using three different regression approaches and evaluate usefulness incorporating machine learning algorithms into in a clinical setting. Methods: We included 221 patients from hypertension unit, whose were collected electronic records dated between 2006 2017. used classical stepwise logistic regression, two methods [least absolute shrinkage selection operator (LASSO) elastic...

A blind adoptive beamforming scheme is developed for CDMA that cancels strong multi-user access interference and optimally combines multipath based on the following observation: after passing output of each antenna through a matched filter corresponding to PN sequence desired user, one can isolate periods time when cochannel dominates. This allows estimate spatio-frequency correlation matrix co-channel alone. The weight vector yielding optimum signal plus noise ratio bit decisions "largest"...

A novel wideband beamforming technique for cellular CDMA systems is presented in this paper. The proposed algorithm asymptotically provides the maximum SINR estimate of signal with desired code (SDC) by optimally combining signals from different paths and canceling strong multiuser access interference (MUAI). two-dimensional (2-D) matched filter structure used where not only temporal samples output are processed but those filters connected to antennas as well. In contrast previously...

Successful deployment of cognitive radios requires efficient sensing the spectrum and dynamic adaptation available resources according to sensed (imperfect) information. While most works design these two tasks separately, in this paper we address them jointly. In particular, investigate an interweave radio with multiple secondary users that access orthogonally a set frequency bands originally devoted primary users. The schemes are designed minimize cost sensing, maximize performance...

The design, construction, and basic characteristics of an electronically steered, adaptive phased array antenna for land mobile satellite communications are described here. system includes six microstrip stacked patch antennas, each one connected to RF channel, which include a monolithic microwave/millimeter wave integrated circuit (MMIC) low noise amplifier commercial silicon I-Q modulator. A six-way combiner adds the channels so that resulting signal is introduced in global positioning...

Very limited data are available on the differences between spontaneous and induced episodes of ventricular fibrillation (VF) in humans. The aim study was to compare spectral characteristics electrical signal recorded by an implantable cardioverter defibrillator (ICD) during both types episodes. Thirteen ICD patients with at least one VF device were included study. A representation obtained for first 3 s intracardiac unipolar electrogram VF. dominant frequency ( fd ), peak power ,...

It has been previously documented that the main features and sensing performance of electrograms (EGMs) recorded in implantable cardioverter defibrillators (ICDs) depend on lead configuration. Although this dependence ascribed to differences sensitivity spatial resolution, quantification these two properties ICD not yet attempted. In paper, an operative framework study resolution transvenous leads is presented. We propose quantify based a new characterization called volume (ResV). analyzed...

Electronic health record (EHR) automates the clinician workflow, allowing evidence-based decision support and quality management. We aimed to start a framework for domain standardization of cardiovascular risk stratification into EHR, including indices whose calculation involves ECG signal processing. propose use biomedical ontologies completely based on conceptual model SNOMED-CT, which allows us implement our in EHR. In this setting, present study focused heart rate turbulence (HRT)...