1,721,019 research outputs found
Frame Synchronization in Frequency Uncertainty
This paper addresses the problem of robust frame
synchronization for TDM/TDMA systems in the presence of
frequency errors, accomplished through data-aided recognition
of the Unique Word (UW) preamble in the transmission flow.
Robust detection design is performed applying, through approximations,
the Maximum Likelihood (ML) criterion coupled to Post
Detection Integration (PDI), to obtain a novel detector identified
as Balanced-GPDI (B-GPDI). This new approach considerably
outperforms other schemes available in the literature, at the cost
of a moderate complexity increase. This is possible thanks to an
optimized use of coherent accumulation, which enhances the correlation
term in the decision variable, along with highly accurate
modeling of the energy correction factor. To limit complexity
increase and memory requirements, several approximations of
the exact B-GPDI are proposed and discussed in the paper, to
provide the designer with practical solutions that are still able
to outperform other approaches in specific application scenarios.
In particular, approximations for low and high Signal-to-Noise
Ratio (SNR) are presented. Different application scenarios are
considered in the paper for numerical analysis. In particular,
the cases of forward link Continuous Transmission (CTX) and
return link Burst Transmission (BTX) are addressed
Log-MAP Decoding of Turbo Codes and Turbo Trellis-Coded ModulationUsing Piecewise-Linear Approximations of the max* Operator
Differential detection of correlative encoded continuous phase modulation schemes using decision feedback
Performance evaluation of selection diversity receivers over arbitrarily correlated generalised Gamma fading channels
A new software radio based distributed base station architecture and its application to 3G UMTS employing signal combining techniques
A novel traffic dependent dynamic channel allocation and reservation technique for LEO mobile satellite systems
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Identification of High Yielding Investment Programs in Bitcoin via Transactions Pattern Analysis
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