GLORIA

GEOMAR Library Ocean Research Information Access

X
You have 0 saved results.
Mark results and click the "Add To Watchlist" link in order to add them to this list.

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • 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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    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
    detail.hit.zdb_id: 1461063-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 4
    Online Resource
    Online Resource
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 5
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 6
    Online Resource
    Online Resource
    Co-actors represent each other's task regularity through social statistical learning
    Elsevier BV ; 2023
    In:  Cognition Vol. 235 ( 2023-06), p. 105411-
    Details
    In: Cognition, Elsevier BV, Vol. 235 ( 2023-06), p. 105411-
    Type of Medium: Online Resource
    ISSN: 0010-0277
    URL: Article
    DOI: 10.1016/j.cognition.2023.105411
    RVK:
    EQ 2127.5
    RVK:
    CL 1000
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1499940-7
    detail.hit.zdb_id: 184702-8
    SSG: 5,2
    SSG: 7,11
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 7
    Online Resource
    Online Resource
    A fast calculation method of travel speed of pulse peak in convergence zone
    Acoustical Society of America (ASA) ; 2017
    In:  The Journal of the Acoustical Society of America Vol. 142, No. 4_Supplement ( 2017-10-01), p. 2527-2527
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 142, No. 4_Supplement ( 2017-10-01), p. 2527-2527
    Abstract: A long-range sound propagation experiment was conducted in the West Pacific Ocean in summer 2013. The signals received by a towed array indicate that the travel speed of pulse peak (TSPP) in the convergence zones is stable. Therefore, an equivalent sound speed can be used at all ranges in the convergence zones. A fast calculation method based on the beam-displacement ray-mode (BDRM) theory and convergence zone theory is proposed to calculate this equivalent sound speed. The computation speed of this proposed method is over 1000 times faster than that of the conventional calculation method based on the normal mode theory, with the computation error less than 0.4% compared with the experimental result. Also, the effect of frequency and sound speed profile on the TSPP is studied with the conventional and fast calculation methods, showing that the TSPP is almost independent of the frequency and sound speed profile in the ocean surface layer.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.5014239
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2017
    detail.hit.zdb_id: 1461063-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 8
    Online Resource
    Online Resource
    Vowel recognition from articulatory position time-series data.
    Acoustical Society of America (ASA) ; 2009
    In:  The Journal of the Acoustical Society of America Vol. 125, No. 4_Supplement ( 2009-04-01), p. 2498-2498
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 125, No. 4_Supplement ( 2009-04-01), p. 2498-2498
    Abstract: The goal of this project is to determine the accuracy and processing speed of different approaches for mapping time-varying articulatory positional data to vowels. Three widely used classifiers were compared on two datasets: one single speaker and one multiple speaker. The single-speaker dataset was acquired using the Articulograph AG500. The multiple-speaker dataset was obtained from seven speakers in the Xray Microbeam Speech Production Database (Westbury, 1994). The recognition rate for single speaker dataset (eight English vowels) ranged from 94.25% to 98.1%, and from 62.38% to 99.35% for the multiple-speaker dataset. For the single-speaker dataset, recognition accuracy was comparable across classifiers. For the multiple-speaker dataset, recognition accuracy was better for the Support Vector Machine and C4.5 than for the neural networks. The decision tree generated by C4.5 was consistent with articulatory features commonly used to descriptively distinguish vowels. Moreover, the Support Vector Machine and C4.5 performed much faster than did the neural network. The high recognition rates observed suggest that static vowels can be accurately recognized from articulatory position time-series data. The findings are intended to improve the accuracy and response time of a real-time articulatory-movement based speech synthesizer.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.4783353
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2009
    detail.hit.zdb_id: 1461063-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 9
    Online Resource
    Online Resource
    Using lateral sensors in flesh-point tracking of /I/ and /ɹ/ in American English
    Acoustical Society of America (ASA) ; 2014
    In:  The Journal of the Acoustical Society of America Vol. 135, No. 4_Supplement ( 2014-04-01), p. 2198-2198
    Details
    In: The Journal of the Acoustical Society of America, Acoustical Society of America (ASA), Vol. 135, No. 4_Supplement ( 2014-04-01), p. 2198-2198
    Abstract: Whereas electromagnetic articulography (EMA) studies commonly use a midsagittal sensor array to record articulatory patterns, higher spatial imaging data (e.g., MRI, ultrasound) suggest that some sounds, such as /ɹ/ and /I/, involve tongue concave/convex shape differences that are more effectively measured along a coronal axis. We therefore explored the use of a lateral sensor in the EMA measurement of liquid consonants. Ten adult subjects produced /I/ and /ɹ/ in /ɑCɑ/, /iCi/, and /uCu/ syllables while seated in a 3D electromagnetic articulography system (AG501, Carstens Medezinelektronic, GmbH). Speech movement was tracked for tongue sensors (tongue tip, TT, tongue lateral, TL, and tongue body, TB) and lips (upper lip, UL, and lower lip, LL). Preliminary results suggest that the TL sensor, taken together with TT and TB, provide an improved characterization of American English liquid consonants. Further results will be discussed in the context of developing methods to optimize real-time speech training and speech rehabilitation systems.
    Type of Medium: Online Resource
    ISSN: 0001-4966 , 1520-8524
    URL: Article
    DOI: 10.1121/1.4877174
    RVK:
    EQ 1000
    Language: English
    Publisher: Acoustical Society of America (ASA)
    Publication Date: 2014
    detail.hit.zdb_id: 1461063-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 10
    Online Resource
    Online Resource
    Tongue and Lip Acceleration as a Measure of Speech Decline in Amyotrophic Lateral Sclerosis
    S. Karger AG ; 2023
    In:  Folia Phoniatrica et Logopaedica Vol. 75, No. 1 ( 2023), p. 23-34
    Details
    In: Folia Phoniatrica et Logopaedica, S. Karger AG, Vol. 75, No. 1 ( 2023), p. 23-34
    Abstract: 〈 b 〉 〈 i 〉 Purpose: 〈 /i 〉 〈 /b 〉 The goal of this study was to examine the efficacy of acceleration-based articulatory measures in characterizing the decline in speech motor control due to amyotrophic lateral sclerosis (ALS). 〈 b 〉 〈 i 〉 Method: 〈 /i 〉 〈 /b 〉 Electromagnetic articulography was used to record tongue and lip movements during the production of 20 phrases. Data were collected from 50 individuals diagnosed with ALS. Articulatory kinematic variability was measured using the spatiotemporal index of both instantaneous acceleration and speed signals. Linear regression models were used to analyze the relationship between variability measures and intelligible speaking rate (a clinical measure of disease progression). A machine learning algorithm (support vector regression, SVR) was used to assess whether acceleration or speed features (e.g., mean, median, maximum) showed better performance at predicting speech severity in patients with ALS. 〈 b 〉 〈 i 〉 Results: 〈 /i 〉 〈 /b 〉 As intelligible speaking rate declined, the variability of acceleration of tongue and lip movement patterns significantly increased ( 〈 i 〉 p 〈 /i 〉 & #x3c; 0.001). The variability of speed and vertical displacement did not significantly predict speech performance measures. Additionally, based on 〈 i 〉 R 〈 /i 〉 〈 sup 〉 2 〈 /sup 〉 and root mean square error (RMSE) values, the SVR model was able to predict speech severity more accurately from acceleration features ( 〈 i 〉 R 〈 /i 〉 〈 sup 〉 2 〈 /sup 〉 = 0.601, RMSE = 38.453) and displacement features ( 〈 i 〉 R 〈 /i 〉 〈 sup 〉 2 〈 /sup 〉 = 0.218, RMSE = 52.700) than from speed features ( 〈 i 〉 R 〈 /i 〉 〈 sup 〉 2 〈 /sup 〉 = 0.554, RMSE = 40.772). 〈 b 〉 〈 i 〉 Conclusion: 〈 /i 〉 〈 /b 〉 Results from these models highlight differences in speech motor control in participants with ALS. The variability in acceleration of tongue and lip movements increases as speech performance declines, potentially reflecting physiological deviations due to the progression of ALS. Our findings suggest that acceleration is a more sensitive indicator of speech deterioration due to ALS than displacement and speed and may contribute to improved algorithm designs for monitoring disease progression from speech signals.
    Type of Medium: Online Resource
    ISSN: 1021-7762 , 1421-9972
    URL: Article
    DOI: 10.1159/000525514
    RVK:
    EQ 1000
    Language: English
    Publisher: S. Karger AG
    Publication Date: 2023
    detail.hit.zdb_id: 1482295-7
    SSG: 7,11
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...