136,187 research outputs found
MBER Space-Time Decision Feedback Equalization assisted Multiuser Detection for Multiple Antenna Aided SDMA Systems
No full textThis paper proposes a space-time decision feedback equalization (ST-DFE) assisted multiuser detection (MUD) scheme for multiple receiver antenna aided space division multiple access systems. A minimum bit error rate (MBER) design is invoked for the MUD, which is shown to be capable of improving the achievable bit error rate performance and enhancing the attainable system capacity over that of the standard minimum mean square error (MMSE) design. An adaptive implementation of the MBER ST-DFE assisted MUD is proposed using a stochastic gradient-based least bit error rate algorithm, which is demonstrated to consistently outperform the classical least mean square (LMS) algorithm, while achieving a lower computational complexity than the LMS algorithm for the binary signalling scheme. Our simulation results demonstrate that the MBER ST-DFE assisted MUD is more robust to channel estimation errors as well as to potential error propagation imposed by decision feedback errors, compared to the MMSE ST-DFE assisted MUD. Index Terms—Decision feedback equalizer, minimum bit error rate, minimum mean square error, multiple antennas, multipleinput multiple-output, multiuser detection, space-division multiple access, space-time processing
Replication Data and Codes for: The Art of the Deal: Deciphering the Endowment Effect from Traders’ Eyes
No full textData and codes related to the manuscript titled “The Art of the Deal: Deciphering the Endowment Effect from Traders’ Eyes” by Feng Sheng, Ruining Wang, Zexian Liang, Xiaoyi Wang, Michael L. Platt
FIGURE 1. Petrocosmea panzhouensis Sheng H in Petrocosmea panzhouensis (Gesneriaceae), a new species from Guizhou, China
No full textFIGURE 1. Petrocosmea panzhouensis Sheng H.Tang & Tao Peng, sp. nov. A, B flowering plant C adaxial and abaxial surfaces of leaf blade D cymes, and bracts inside and outside (inset) E flower in front view F flower in side view, and calyx lobes outside and inside (inset) G flower in top view H opened corolla with pistil removed, showing stamens, and spots inside the corolla I stamens ventral and dorsal, and dehiscing terminal anther pores (inset) J pistil, cross section of ovary (inset), and red lines showing the shape of placentas K capsules of previous year L seeds of previous year. (Photographs by Sheng-Hu Tang).Published as part of Tang, Sheng-Hu, Zhang, Jian-Hua, Peng, Tao & Guo, Ying, 2022, Petrocosmea panzhouensis (Gesneriaceae), a new species from Guizhou, China, pp. 225-231 in Phytotaxa 572 (3) on page 226, DOI: 10.11646/phytotaxa.572.3.1, http://zenodo.org/record/732217
Minimum bit-error rate design for space-time equalization-based multiuser detection
No full textA novel minimum bit-error rate (MBER) space–time equalization (STE)-based multiuser detector (MUD) is proposed for multiple-receive-antenna-assisted space-division multiple-access systems. It is shown that the MBER-STE-aided MUD significantly outperforms the standard minimum mean-square error design in terms of the achievable bit-error rate (BER). Adaptive implementations of the MBER STE are considered, and both the block-data-based and sample-by-sample adaptive MBER algorithms are proposed. The latter, referred to as the least BER (LBER) algorithm, is compared with the most popular adaptive algorithm, known as the least mean square (LMS) algorithm. It is shown that in case of binary phase-shift keying, the computational complexity of the LBER-STE is about half of that required by the classic LMS-STE. Simulation results demonstrate that the LBER algorithm performs consistently better than the classic LMS algorithm, both in terms of its convergence speed and steady-state BER performance. Index Terms—Adaptive algorithm, minimum bit-error rate (MBER), multiuser detection (MUD), space–time processing
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Adaptive Bayesian Space-Time Equalisation for Multiple Receive-Antenna Assisted Single-Input Multiple-Output Systems
No full textThis contribution considers nonlinear space–time equalisation (STE) for multiple receive-antenna induced single-input multipleoutput (SIMO) systems. By exploiting the inherent symmetry of the underlying optimal Bayesian STE solution, a novel symmetric radial basis function (RBF) based STE scheme is proposed, which is capable of approaching the optimal Bayesian equalisation performance. Adaptive implementation of this symmetric RBF (SRBF) based STE can be achieved conveniently by estimating the SIMO channels using the least mean square channel estimator and computing the optimal RBF centres from the resulting SIMO channel matrix estimate. Simulation results also demonstrate that the performance of this SRBF based STE is robust with respect to the choice of the RBF variance value. The proposed adaptive solution is then extended to the space–time decision feedback equalisation (ST-DFE) structure
RFID data Management: issues, solutions, and directions
No full textQuan Z. Sheng, Kerry L. Taylor, Zakaria Maamar and Paul Brebner.http://www.amazon.com/Internet-Things-Next-Generation-Pervasive-Communications/dp/1420052810/ref=sr_1_1?ie=UTF8&s=books&qid=1260244202&sr=1-
Language Communication And Marketing: Contextualising the Rise of Sheng’ Language in Advertising Platforms in Kenya
No full textCommercial advertisers have turned to an extensive use of Sheng’ to market their products. The entrepreneurial
class in Kenya has now woken up to the economic advantages that Sheng’ presents as the language of the youth.
This paper first discusses the distribution and spread of Sheng’ in Kenya, and secondly, it shows the need for use
of Sheng’ in marketing communication. The paper finally concludes by suggesting ways in which language
spread can be a useful element to society and by showing how Sheng’ can be incorporated in advertising without
compromising the communication objectives and negatively impact on society
Square Dancing with the Stars to Enhance Dynamic Hirschman Linkages?
No full textIn this Presidential Address, the author takes the reader on a reconnaissance of his life and time as a regional scientist. He points out scenery he found scintillating along the way, hoping that some may pick up the banner and chew on a few of the ideas for a while. He suggests a revisit to Albert O. Hirschman’s notion of key sectors and more empirical analysis related to Marcus Berliant’s and Masahisa Fujita’s notion of knowledge creation and transfer.Presidential Address, San Antonio, Texas, March 29, 2014 (53rd Meetings of the Southern Regional Science Association
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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