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  • Wang, Jun  (20)
  • Comparative Studies. Non-European Languages/Literatures  (20)
  • 1
    Online Resource
    Online Resource
    Cluster-aware channel estimation with deep learning method in deep-water acoustic communications
    Acoustical Society of America (ASA) ; 2023
    In:  The Journal of the Acoustical Society of America Vol. 154, No. 3 ( 2023-09-01), p. 1757-1769
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 154, No. 3 ( 2023-09-01), p. 1757-1769
    Abstract: In underwater acoustic (UWA) communications, channels often exhibit a clustered-sparse structure, wherein most of the channel impulse responses are near zero, and only a small number of nonzero taps assemble to form clusters. Several algorithms have used the time-domain sparse characteristic of UWA channels to reduce the complexity of channel estimation and improve the accuracy. Employing the clustered structure to enhance channel estimation performance provides another promising research direction. In this work, a deep learning-based channel estimation method for UWA orthogonal frequency division multiplexing (OFDM) systems is proposed that leverages the clustered structure information. First, a cluster detection model based on convolutional neural networks is introduced to detect the cluster of UWA channels. This method outperforms the traditional Page test algorithm with better accuracy and robustness, particularly in low signal-to-noise ratio conditions. Based on the cluster detection model, a cluster-aware distributed compressed sensing channel estimation method is proposed, which reduces the noise-induced errors by exploiting the joint sparsity between adjacent OFDM symbols and limiting the search space of channel delay spread. Numerical simulation and sea trial results are provided to illustrate the superior performance of the proposed approach in comparison with existing sparse UWA channel estimation methods.
    Type of Medium: Online Resource
    ISSN: 0001-4966
    URL: Article
    DOI: 10.1121/10.0020861
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2023
    detail.hit.zdb_id: 1461063-2
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  • 2
    Online Resource
    Online Resource
    Low-rank decomposition meets kernel learning: A generalized Nyström method
    Elsevier BV ; 2017
    In:  Artificial Intelligence Vol. 250 ( 2017-09), p. 1-15
    Details
    In: Artificial Intelligence, Elsevier BV, Vol. 250 ( 2017-09), p. 1-15
    Type of Medium: Online Resource
    ISSN: 0004-3702
    URL: Article
    DOI: 10.1016/j.artint.2017.05.001
    RVK:
    EQ 1000
    RVK:
    SA 2940
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2017
    detail.hit.zdb_id: 1468341-6
    detail.hit.zdb_id: 218797-8
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  • 3
    Online Resource
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    The effects of the internal waves on the statistic characteristics of the sound fields in the 2001 ASIAX South China Sea Experiment
    Acoustical Society of America (ASA) ; 2008
    In:  The Journal of the Acoustical Society of America Vol. 123, No. 5_Supplement ( 2008-05-01), p. 3588-3588
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 123, No. 5_Supplement ( 2008-05-01), p. 3588-3588
    Abstract: Internal waves are one of primary sources of ocean variations in shallow water. The temporal-spatial stability of sound channel may be degraded by the activities of internal waves. We present analyses of statistic characteristics observed in acoustic signals transmitted by two 400Hz sources moored as part of ASIAEX 2001 South China Sea (SCS) experiment. One source was 31.3 km offshore from the receiving array, and the other was 20.6 km alongshore from the array. Time series of signal intensity measured at individual phones of a 16-element vertical line array and a 32-element horizontal line array. temporal-spatial correlations were observed from 2 May to 17 May 2001. The temporal-spatial decorrelation scales are closely related to internal wave properties. The largest internal wave, especially solitary wave packets, are the principal contributors to reduction of the temporal-spatial decorrelation scales. We also present elementary analyses of higher-order statistics (HOS), such as bispectrum, bicoherency coefficients, etc.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.2934717
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2008
    detail.hit.zdb_id: 1461063-2
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  • 4
    Online Resource
    Online Resource
    Blind adaptive correlation-based decision feedback equalizer (DFE) for underwater acoustic communications
    Acoustical Society of America (ASA) ; 2017
    In:  The Journal of the Acoustical Society of America Vol. 141, No. 5_Supplement ( 2017-05-01), p. 3988-3988
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 141, No. 5_Supplement ( 2017-05-01), p. 3988-3988
    Abstract: Passive time reversal uses a set of matched filters corresponding to individual channel impulse response to reduce intersymbol interferences (ISIs) in underwater acoustic communications. Because of residual ISIs after time reversal, a coupled single decision feedback equalizer (DFE) is necessary. The coupled DFE uses a fixed tap number applicable to most shallow oceans with less user supervision. However, this correlation-based DFE needs the training sequence to estimate the individual channel response and initialize DFE, which decreases the effective bit rate and increases user supervision. We therefore in this paper propose a new blind structure of time reversal coupling with DFE, and it can complete multichannel identification and equalization at the same time without the training sequence. This new receiver has a reversible structure. In the first mode, it is linear and adapted by blind algorithms, e.g. constant modulus algorithm (CMA), to estimate the multichannel impulse responses and initialize the equalizer. In the second mode, the receiver becomes correlation-based DFE. From the viewpoint of user supervision and spectral efficiency, the new structure with no training sequence is more attractive. The blind correlation-based DFE exhibits the same steady-state mean square error (MSE) with the trained structure, and has been validated on real underwater communication data.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.4989125
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2017
    detail.hit.zdb_id: 1461063-2
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  • 5
    Online Resource
    Online Resource
    A new soft decision feedback equalizer in underwater acoustic communications
    Acoustical Society of America (ASA) ; 2012
    In:  The Journal of the Acoustical Society of America Vol. 131, No. 4_Supplement ( 2012-04-01), p. 3483-3483
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 131, No. 4_Supplement ( 2012-04-01), p. 3483-3483
    Abstract: The tap coefficients of the decision-feedback equalizer (DFE) are associated with the multipath spread of the channel. For the underwater acoustic communication channel, the impulse response often covers tens to hundreds of symbols, requiring at least tens of taps in the feedback filter. Once the incorrect decisions are fed back, the error propagation will be severe. In this paper, we propose a new soft decision equalizer. The expected output symbols of the equalizer will be weighted according to their reliability, and summed up, then the result is fed back. This approach can alleviate the effect of those incorrect symbols. For evaluating the performance of the proposed method, a sea test in shallow water was carried out. The experimental results show that its BER decreases by 50% without channel codec, compared with the conventional DFE. Furthermore, the mean square error can also reduce about 2 dB when the error propagation is severe.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.4709145
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2012
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  • 6
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    Crosslinguistic influence in the conceptualization of motion events: A synthesis study on L2 acquisition of Chinese motion expressions
    SAGE Publications ; 2022
    In:  Second Language Research
    Details
    In: Second Language Research, SAGE Publications
    Abstract: As Chinese shows both satellite- and verb-framed properties (Slobin, 2004; Talmy, 2012, 2016), it provides a unique lens through which to observe the extent of first-language (L1) typological influence in second language (L2) acquisition of motion expressions. This study has dual purposes. First, it extends Wu’s (2016) investigation on motion expressions produced by 80 L1 satellite-framed English learners of L2 Chinese to include newly collected data produced by L1 verb-framed speakers, a sample comprised of 41 L1 Japanese learners of Chinese and 40 Japanese native speakers. Second, it synthesizes the data from both studies and comprehensively examines factors that have been proposed to affect development of L2 thinking-for-speaking (TFS) patterns. The results show that development of L2 TFS is best predicted by learners’ L1 type, but the effect is mitigated by L2 proficiency. While the L1 English learners outperform L1 Japanese learners in their development of target-like L2 Chinese TFS, learners with limited L2 proficiency in both groups tend to adopt verb-framed strategies to express only the core path information of a motion event and leave out the manner details. Analysis of L1 Japanese learners’ oral narratives in L1 Japanese and L2 Chinese also shows that reverse L2-to-L1 transfer is less likely to happen when learning a typologically closer L2 that requires minimal restructuring of their L1 TFS.
    Type of Medium: Online Resource
    ISSN: 0267-6583 , 1477-0326
    URL: Article
    DOI: 10.1177/02676583221132205
    RVK:
    EQ 1000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2023712-1
    SSG: 7,11
    SSG: 5,3
    SSG: 7,23
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  • 7
    Online Resource
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    Book Review: Defining and Assessing Lexical Proficiency
    SAGE Publications ; 2021
    In:  Language Testing Vol. 38, No. 1 ( 2021-01), p. 180-182
    Details
    In: Language Testing, SAGE Publications, Vol. 38, No. 1 ( 2021-01), p. 180-182
    Type of Medium: Online Resource
    ISSN: 0265-5322 , 1477-0946
    URL: Article
    DOI: 10.1177/0265532220960019
    RVK:
    EQ 1000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 999075-6
    detail.hit.zdb_id: 2023709-1
    SSG: 7,11
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  • 8
    Online Resource
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    Tense/lax discrimination in articulatory vowel space: Evidence from electromagnetic articulography
    Acoustical Society of America (ASA) ; 2014
    In:  The Journal of the Acoustical Society of America Vol. 135, No. 4_Supplement ( 2014-04-01), p. 2197-2197
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 135, No. 4_Supplement ( 2014-04-01), p. 2197-2197
    Abstract: A kinematic experiment investigated tongue movement for vowels in American English with the aim of developing spatial targets for use by subjects in real-time interactive learning/remediation environments. A 3D EMA system (AG501, Carstens Medezinelektronic, GmbH) was used to track the position of the tongue (tongue tip, TT, and tongue back, TB) and lips (upper lip, UL, and lower lip, LL) of adult subjects producing the vowels of American English (12 monophthongs and 3 diphthongs) in the consonant environment /bVb/. Here, we asked which of the tongue sensors yields the best spatial separation of the corner vowels /i/, /u/, /æ/ and /ɑ/, and whether vowels that are acoustically close in formant space (e.g., the pairs /i/-/I/ and /e/-/ɛ/) are distinguishable by tongue sensor position. Data were recorded for ten talkers. Points taken at the vowel midpoint of each production were plotted to determine the spatial separation (Euclidean distance) between each vowel region (centroid). Preliminary results suggest TB sensors yield the most discriminable patterns for corner vowels. Tense/lax pairs show smaller differences, as predicted by acoustic theory. For most vowel contrasts examined, patterns of spatial separation appeared sufficient for real-time feedback applications.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.4877166
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2014
    detail.hit.zdb_id: 1461063-2
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  • 9
    Online Resource
    Online Resource
    Inspection of the secondary path modeling in active noise control from the viewpoint of channel identification in stereo acoustic echo cancellation
    Acoustical Society of America (ASA) ; 2019
    In:  The Journal of the Acoustical Society of America Vol. 145, No. 5 ( 2019-05-01), p. 3024-3030
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 145, No. 5 ( 2019-05-01), p. 3024-3030
    Abstract: The similarity between the identification of secondary path in feedforward active noise control and the channel identification in stereo echo cancellation is revealed in this paper. Accordingly, the convergence behavior of the ANC system can be analyzed by investigating the joint auto-correlation matrix of the reference and the filtered reference signal. It is proved that the straightforward secondary path modeling can be carried out without the injection of any additive noise as long as the control filter is of a sufficiently long length. Furthermore, by taking advantage of the time-varying characteristic of the control filter, effective modeling of the secondary path can even be achieved without any restriction on the control filter length.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.5108614
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2019
    detail.hit.zdb_id: 1461063-2
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  • 10
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    Online Resource
    A switching strategy of the frequency-domain adaptive algorithm for active noise control
    Acoustical Society of America (ASA) ; 2019
    In:  The Journal of the Acoustical Society of America Vol. 146, No. 2 ( 2019-08-01), p. 1045-1050
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 146, No. 2 ( 2019-08-01), p. 1045-1050
    Abstract: The bin-normalized frequency domain block least mean square (NFBLMS) algorithm is a good choice in the active noise control system due to its benefit of high convergence speed. However, it suffers from a biased steady-state solution with insufficient adaptive filter length, often unavoidable due to the influence of the secondary path. A modified frequency domain block least mean square (MFBLMS) algorithm with guaranteed optimal steady-state performance has been proposed recently. However, its convergence speed is generally lower than that of the NFBLMS algorithm. In this paper, a mixed algorithm combining the NFBLMS and MFBLMS algorithms is proposed based on the analysis of the initial convergence trajectory of the NFBLMS algorithm. An effective switching strategy is designed, enabling the MFBLMS algorithm after the NFBLMS algorithm approaches its steady state and shifting back to the NFBLMS algorithm when the change of environment is detected. The mixed algorithm has both the high convergence speed and the optimal steady-state performance, and its effectiveness is validated by simulations using measured acoustic transfer functions.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.5120260
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2019
    detail.hit.zdb_id: 1461063-2
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