619,004 research outputs found

    Louis Chen lecture

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    Side A. 1. Sibelius #1. 2. Louis Chen lecture -- Side B. 1. All L. Chen's lect.Live recording (lecture)Possibly reproduced from other commercial recording or radio broadcast (Pending for review) (Sibelius' piece)Electronic reproduction from Rulan Chao Pian Audio Cassette Collection.Performers, unknown.Spoken in Chinese and English

    Adaptive Minimum-BER Linear Multiuser Detection for DS-CDMA Signals in Multipath Channels

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    The problem of constructing adaptive minimum bit error rate (MBER) linear multiuser detectors is considered for direct-sequence code division multiple access (DS-CDMA) signals transmitted through multipath channels. Based on the approach of kernel density estimation for approximating the bit error rate (BER) from training data, a least mean squares (LMS) style stochastic gradient adaptive algorithm is developed for training linear multiuser detectors. Computer simulation is used to study the convergence speed and steady-state BER misadjustment of this adaptive MBER linear multiuser detector, and the results show that it outperforms an existing LMS-style adaptive MBER algorithm first presented at Globecom'98 by Yeh, Lopes and Barry

    Adaptive minimum symbol-error-rate decision feedback equalization for multilevel pulse-amplitude modulation

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    The design of decision feedback equalizers (DFEs) is typically based on the minimum mean square error (MMSE) principle, as this leads to effective adaptive implementation in the form of the least mean square algorithm. It is well-known, however, that in certain situations the MMSE solution can be distinctly inferior to the optimal minimum symbol error rate (MSER) solution. We consider the MSER design for multi-level pulse-amplitude modulation. Block-data adaptive implementation of the theoretical MSER DFE solution is developed based on the Parzen window estimate of probability density function. Furthermore, a sample-by-sample adaptive MSER algorithm, called the least symbol error rate (LSER), is derived for adaptive equalization application. The proposed LSER algorithm has a complexity that increases linearly with the equalizer length. Computer simulation is employed to evaluate the proposed alternative MSER design for equalization application with multi-level signalling schemes

    Asymptotic Bayesian Decision Feedback Equalizer Using a Set of Hyperplanes

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    We present a signal space partitioning technique for realizing the optimal Bayesian decision feedback equalizer (DFE). It is known that, when the signal to noise ratio (SNR) tends to infinity, the decision boundary of the Bayesian DFE is asymptotically piecewise linear and consists of several hyperplanes. The proposed technique determines these hyperplanes explicitly and uses them to partition the observation signal space. The resulting equalizer is made up of a set of parallel linear discriminant functions and a Boolean mapper. Unlike the existing signal space partitioning technique of Kim and Moon, which involves complex combinatorial search and optimization in design, our design procedure is simple and straightforward, and guarantees to achieve the asymptotic Bayesian DFE

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Adaptive simulated annealing for optimization in signal processing applications

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    Many signal processing applications pose optimization problems with multimodal and nonsmooth cost functions. Gradient methods are ineffective in these situations. The adaptive simulated annealing (ASA) offers a viable optimization tool for tackling these difficult nonlinear optimization problems. Three applications, maximum likelihood (ML) joint channel and data estimation, infinite-impulse-response (IIR) filter design and evaluation of minimum symbol-error-rate (MSER) decision feedback equalizer (DFE), are used to demonstrate the effectiveness of the ASA

    Stegana (Steganina) angulata Chen & Chen

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    Stegana (Steganina) angulata Chen & Chen Stegana (Steganina) angulata Chen & Chen, 2009 b: 230. Diagnosis. Lateral hook-lake projections of gonopods with serrate processes along margins; ventral part of aedeagus sclerotized and slick; dorsal part flat on apical margin (Chen & Chen 2009 b, Figs 4, 5). Specimen examined. Holotype 3: MALAYSIA (KPSP): Poring, Sabah, 16.iii. 1999, on tree trunk, MJ Toda. Distribution. Malaysia (Sabah).Published as part of Wu, Liang, Gao, Jian-Jun & Chen, Hong-Wei, 2010, The Stegana (Steganina) biprotrusa species group from the Oriental Region (Diptera: Drosophilidae), pp. 47-54 in Zootaxa 2721 on pages 48-49, DOI: 10.5281/zenodo.19989

    Artimpaza brevilineata Tian & Chen, 2012 in Tian, Chen & Li 2012

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    Artimpaza brevilineata Tian & Chen, 2012 in Tian, Chen & Li, 2012: 43, figs. 1–9. (Figs. 28a, b) Type locality: China, Yunnan, Pu’er City, Yutang. Gender: female. Date collected: 2011.V.25 (2010.V.25, in the original description, is incorrect). Collector: Li-Chao TIAN & Gui-Qiang HUANG. Paratypes: 1 female, China, Yunnan, Lincang City, 1980.VI.1, Fen LIU leg. Remarks: In the original description, the type locality is “ Yunnan, Jinghong” while it is “ Yunnan, Yutang” according to the label. “Yutang” is actually in Pu’er, not Jinghong. The first author described the type locality by mistake. In the original description, the collector was only listed as Li-Chao TIAN, which was a mistake.Published as part of Li, Zhu & Chen, Li, 2020, Primary types of longhorned beetles (Coleoptera, Cerambycidae, Vesperidae and Disteniidae) of Southwest University (SWU), pp. 25-46 in Zootaxa 4718 (1) on page 33, DOI: 10.11646/zootaxa.4718.1.2, http://zenodo.org/record/360220

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Replication Data for: Chen S, Christensen T, Ma L. Reputation Management and Administrative Reorganization: How Different Media Reputation Dimensions Matter for Agency Termination. Journal of Public Administration Research and Theory. 2022, https://doi.org/10.1093/jopart/muac028

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    Replication Data for: Chen S, Christensen T, Ma L. Reputation Management and Administrative Reorganization: How Different Media Reputation Dimensions Matter for Agency Termination. Journal of Public Administration Research and Theory. 2022, https://doi.org/10.1093/jopart/muac02
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