These interrelations are further explored to develop the turbo joint channel estimation, synchronization, and decoding scheme in Section 4, and the vector RLS-based joint CIR, CFO, and SFO tracking algorithm is delineated in Section 5. Section 6 presents the coarse estimation of the CFO, SFO, and CIR.
While our contribution aims to develop the first dimension, it is useful to expand on the other two to understand their interrelations.
Exploratory factor analysis is one way to study many symptoms and health outcomes comprehensively and to develop insight into the interrelations of symptom and outcome complexes that should be considered for future study.
Based on the recommendations of Strauss and Corbin the qualitative data was used to develop a paradigm that presents the interrelations between hindering and facilitating factors for EBP and the attitude towards the utilization of EBP among patient counselors and advocates in the German health care context.
This interrelation can be exploited to develop a high-performance turbo joint channel estimation, synchronization, and decoding scheme that can mutually enhance the estimation accuracy and decoding reliability in an iterative manner.
The objective of this study is to develop an intelligent method for personalized monitoring and clinical decision support through early estimation of patient-specific vital sign values, and prediction of anomalies using the interrelation among multiple vital signs.
A paradigm was developed to present the interrelations between hindering and facilitating factors for EBP and the attitude towards the utilization of EBP among PAs and PCs.
As an alternative to large-scale variant validation studies, we developed the Recalibration and Interrelation of genomic sequence data with the GATK (RIG) workflow to integrate information from multiple genomic sources and identify reliable sets of variants.
Locally developed integrated view maps of diseases are provided to summarize the interrelation of clinical and omics data and represent plausible disease pathways.
Many achievement-relevant personality measures (APMs) have been developed, but the interrelations among APMs or associations with the broader personality landscape are not well-known.
