The Experts below are selected from a list of 7218 Experts worldwide ranked by ideXlab platform
Ding Ding - One of the best experts on this subject based on the ideXlab platform.
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analysis of the time frequency Localization Property of the filter banks for nonlinear optical ofdm oqam systems based voltterra series
2019 Asia Communications and Photonics Conference (ACP), 2019Co-Authors: Xi Fang, Lei Zhang, Ding Ding, Guiqiu JiangAbstract:In this paper, we systemically analyzed the effect of the TFL Property of four typical filter banks on the nonlinear interference based on Voltterra series by calculation and simulation, for the first time.
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analysis of the time frequency Localization Property of the filter banks for optical ofdm oqam systems
Journal of Lightwave Technology, 2019Co-Authors: Xi Fang, Yuchao Wang, Hua Jiang, Lei Zhang, Ding DingAbstract:Orthogonal frequency-division multiplexing offset-quadrature amplitude modulation (OFDM/OQAM) relaxes the orthogonal condition from the complex domain to the real field. Therefore, the cyclic prefix (CP) inserted between consecutive optical OFDM blocks, for combating the inter-symbol interference (ISI) induced by chromatic dispersion (CD) and polarization-mode-dispersion (PMD), could be removed for optical OFDM/OQAM to promote the system spectral efficiency. The ISI and the inter-carrier-interference (ICI) could be combated by using the filter banks with good time-frequency Localization (TFL) Property. Thus, the accuracy of channel estimation and system transmission performance largely depend on the TFL Property of the filter banks for optical OFDM/OQAM. Recently, numerical experimental demonstrations and theoretical discussions of optical OFDM/OQAM have been reported. However, to our best knowledge, discussions on the TFL Property of the filter banks have not been studied for optical OFDM/OQAM to date. In this paper, we systematically analyze the TFL Property of the filter banks for optical OFDM/OQAM for the first time. We evaluate the TFL Property of the filter banks with energy concentration, orthogonal basis, and isotropic Property. Three typical filters as the Gaussian filter, the extended Gaussian function (EGF) filter and the isotropic orthogonal transfer algorithm (IOTA) filter have been employed for comparison. According to our theoretical analysis, with the use of the IOTA filter, optical impairments and channel estimation complexities could be decreased evidently thanks to the promising isotropic Property. As shown in the numerous Montel Carlo simulations of the coherent optical OFDM/OQAM, system robustness against IMI, phase noise induced interference (PNII) and nonlinear effect could be improved evidently with the use of the IOTA filter.
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Analysis of the Time-Frequency Localization Property of the Filter Banks for Optical OFDM/OQAM Systems
Journal of Lightwave Technology, 2019Co-Authors: Xi Fang, Yuchao Wang, Hua Jiang, Lei Zhang, Ding DingAbstract:Orthogonal frequency-division multiplexing offset-quadrature amplitude modulation (OFDM/OQAM) relaxes the orthogonal condition from the complex domain to the real field. Therefore, the cyclic prefix (CP) inserted between consecutive optical OFDM blocks, for combating the inter-symbol interference (ISI) induced by chromatic dispersion (CD) and polarization-mode-dispersion (PMD), could be removed for optical OFDM/OQAM to promote the system spectral efficiency. The ISI and the inter-carrier-interference (ICI) could be combated by using the filter banks with good time-frequency Localization (TFL) Property. Thus, the accuracy of channel estimation and system transmission performance largely depend on the TFL Property of the filter banks for optical OFDM/OQAM. Recently, numerical experimental demonstrations and theoretical discussions of optical OFDM/OQAM have been reported. However, to our best knowledge, discussions on the TFL Property of the filter banks have not been studied for optical OFDM/OQAM to date. In this paper, we systematically analyze the TFL Property of the filter banks for optical OFDM/OQAM for the first time. We evaluate the TFL Property of the filter banks with energy concentration, orthogonal basis, and isotropic Property. Three typical filters as the Gaussian filter, the extended Gaussian function (EGF) filter and the isotropic orthogonal transfer algorithm (IOTA) filter have been employed for comparison. According to our theoretical analysis, with the use of the IOTA filter, optical impairments and channel estimation complexities could be decreased evidently thanks to the promising isotropic Property. As shown in the numerous Montel Carlo simulations of the coherent optical OFDM/OQAM, system robustness against IMI, phase noise induced interference (PNII) and nonlinear effect could be improved evidently with the use of the IOTA filter.
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Analysis of the Time-Frequency Localization Property of the Filter Banks for Nonlinear Optical OFDM/OQAM Systems Based Voltterra Series
2019 Asia Communications and Photonics Conference (ACP), 2019Co-Authors: Xi Fang, Lei Zhang, Ding Ding, Guiqiu JiangAbstract:In this paper, we systemically analyzed the effect of the TFL Property of four typical filter banks on the nonlinear interference based on Voltterra series by calculation and simulation, for the first time.
Xi Fang - One of the best experts on this subject based on the ideXlab platform.
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analysis of the time frequency Localization Property of the filter banks for nonlinear optical ofdm oqam systems based voltterra series
2019 Asia Communications and Photonics Conference (ACP), 2019Co-Authors: Xi Fang, Lei Zhang, Ding Ding, Guiqiu JiangAbstract:In this paper, we systemically analyzed the effect of the TFL Property of four typical filter banks on the nonlinear interference based on Voltterra series by calculation and simulation, for the first time.
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analysis of the time frequency Localization Property of the filter banks for optical ofdm oqam systems
Journal of Lightwave Technology, 2019Co-Authors: Xi Fang, Yuchao Wang, Hua Jiang, Lei Zhang, Ding DingAbstract:Orthogonal frequency-division multiplexing offset-quadrature amplitude modulation (OFDM/OQAM) relaxes the orthogonal condition from the complex domain to the real field. Therefore, the cyclic prefix (CP) inserted between consecutive optical OFDM blocks, for combating the inter-symbol interference (ISI) induced by chromatic dispersion (CD) and polarization-mode-dispersion (PMD), could be removed for optical OFDM/OQAM to promote the system spectral efficiency. The ISI and the inter-carrier-interference (ICI) could be combated by using the filter banks with good time-frequency Localization (TFL) Property. Thus, the accuracy of channel estimation and system transmission performance largely depend on the TFL Property of the filter banks for optical OFDM/OQAM. Recently, numerical experimental demonstrations and theoretical discussions of optical OFDM/OQAM have been reported. However, to our best knowledge, discussions on the TFL Property of the filter banks have not been studied for optical OFDM/OQAM to date. In this paper, we systematically analyze the TFL Property of the filter banks for optical OFDM/OQAM for the first time. We evaluate the TFL Property of the filter banks with energy concentration, orthogonal basis, and isotropic Property. Three typical filters as the Gaussian filter, the extended Gaussian function (EGF) filter and the isotropic orthogonal transfer algorithm (IOTA) filter have been employed for comparison. According to our theoretical analysis, with the use of the IOTA filter, optical impairments and channel estimation complexities could be decreased evidently thanks to the promising isotropic Property. As shown in the numerous Montel Carlo simulations of the coherent optical OFDM/OQAM, system robustness against IMI, phase noise induced interference (PNII) and nonlinear effect could be improved evidently with the use of the IOTA filter.
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Analysis of the Time-Frequency Localization Property of the Filter Banks for Optical OFDM/OQAM Systems
Journal of Lightwave Technology, 2019Co-Authors: Xi Fang, Yuchao Wang, Hua Jiang, Lei Zhang, Ding DingAbstract:Orthogonal frequency-division multiplexing offset-quadrature amplitude modulation (OFDM/OQAM) relaxes the orthogonal condition from the complex domain to the real field. Therefore, the cyclic prefix (CP) inserted between consecutive optical OFDM blocks, for combating the inter-symbol interference (ISI) induced by chromatic dispersion (CD) and polarization-mode-dispersion (PMD), could be removed for optical OFDM/OQAM to promote the system spectral efficiency. The ISI and the inter-carrier-interference (ICI) could be combated by using the filter banks with good time-frequency Localization (TFL) Property. Thus, the accuracy of channel estimation and system transmission performance largely depend on the TFL Property of the filter banks for optical OFDM/OQAM. Recently, numerical experimental demonstrations and theoretical discussions of optical OFDM/OQAM have been reported. However, to our best knowledge, discussions on the TFL Property of the filter banks have not been studied for optical OFDM/OQAM to date. In this paper, we systematically analyze the TFL Property of the filter banks for optical OFDM/OQAM for the first time. We evaluate the TFL Property of the filter banks with energy concentration, orthogonal basis, and isotropic Property. Three typical filters as the Gaussian filter, the extended Gaussian function (EGF) filter and the isotropic orthogonal transfer algorithm (IOTA) filter have been employed for comparison. According to our theoretical analysis, with the use of the IOTA filter, optical impairments and channel estimation complexities could be decreased evidently thanks to the promising isotropic Property. As shown in the numerous Montel Carlo simulations of the coherent optical OFDM/OQAM, system robustness against IMI, phase noise induced interference (PNII) and nonlinear effect could be improved evidently with the use of the IOTA filter.
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Analysis of the Time-Frequency Localization Property of the Filter Banks for Nonlinear Optical OFDM/OQAM Systems Based Voltterra Series
2019 Asia Communications and Photonics Conference (ACP), 2019Co-Authors: Xi Fang, Lei Zhang, Ding Ding, Guiqiu JiangAbstract:In this paper, we systemically analyzed the effect of the TFL Property of four typical filter banks on the nonlinear interference based on Voltterra series by calculation and simulation, for the first time.
Lei Zhang - One of the best experts on this subject based on the ideXlab platform.
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analysis of the time frequency Localization Property of the filter banks for nonlinear optical ofdm oqam systems based voltterra series
2019 Asia Communications and Photonics Conference (ACP), 2019Co-Authors: Xi Fang, Lei Zhang, Ding Ding, Guiqiu JiangAbstract:In this paper, we systemically analyzed the effect of the TFL Property of four typical filter banks on the nonlinear interference based on Voltterra series by calculation and simulation, for the first time.
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analysis of the time frequency Localization Property of the filter banks for optical ofdm oqam systems
Journal of Lightwave Technology, 2019Co-Authors: Xi Fang, Yuchao Wang, Hua Jiang, Lei Zhang, Ding DingAbstract:Orthogonal frequency-division multiplexing offset-quadrature amplitude modulation (OFDM/OQAM) relaxes the orthogonal condition from the complex domain to the real field. Therefore, the cyclic prefix (CP) inserted between consecutive optical OFDM blocks, for combating the inter-symbol interference (ISI) induced by chromatic dispersion (CD) and polarization-mode-dispersion (PMD), could be removed for optical OFDM/OQAM to promote the system spectral efficiency. The ISI and the inter-carrier-interference (ICI) could be combated by using the filter banks with good time-frequency Localization (TFL) Property. Thus, the accuracy of channel estimation and system transmission performance largely depend on the TFL Property of the filter banks for optical OFDM/OQAM. Recently, numerical experimental demonstrations and theoretical discussions of optical OFDM/OQAM have been reported. However, to our best knowledge, discussions on the TFL Property of the filter banks have not been studied for optical OFDM/OQAM to date. In this paper, we systematically analyze the TFL Property of the filter banks for optical OFDM/OQAM for the first time. We evaluate the TFL Property of the filter banks with energy concentration, orthogonal basis, and isotropic Property. Three typical filters as the Gaussian filter, the extended Gaussian function (EGF) filter and the isotropic orthogonal transfer algorithm (IOTA) filter have been employed for comparison. According to our theoretical analysis, with the use of the IOTA filter, optical impairments and channel estimation complexities could be decreased evidently thanks to the promising isotropic Property. As shown in the numerous Montel Carlo simulations of the coherent optical OFDM/OQAM, system robustness against IMI, phase noise induced interference (PNII) and nonlinear effect could be improved evidently with the use of the IOTA filter.
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Analysis of the Time-Frequency Localization Property of the Filter Banks for Optical OFDM/OQAM Systems
Journal of Lightwave Technology, 2019Co-Authors: Xi Fang, Yuchao Wang, Hua Jiang, Lei Zhang, Ding DingAbstract:Orthogonal frequency-division multiplexing offset-quadrature amplitude modulation (OFDM/OQAM) relaxes the orthogonal condition from the complex domain to the real field. Therefore, the cyclic prefix (CP) inserted between consecutive optical OFDM blocks, for combating the inter-symbol interference (ISI) induced by chromatic dispersion (CD) and polarization-mode-dispersion (PMD), could be removed for optical OFDM/OQAM to promote the system spectral efficiency. The ISI and the inter-carrier-interference (ICI) could be combated by using the filter banks with good time-frequency Localization (TFL) Property. Thus, the accuracy of channel estimation and system transmission performance largely depend on the TFL Property of the filter banks for optical OFDM/OQAM. Recently, numerical experimental demonstrations and theoretical discussions of optical OFDM/OQAM have been reported. However, to our best knowledge, discussions on the TFL Property of the filter banks have not been studied for optical OFDM/OQAM to date. In this paper, we systematically analyze the TFL Property of the filter banks for optical OFDM/OQAM for the first time. We evaluate the TFL Property of the filter banks with energy concentration, orthogonal basis, and isotropic Property. Three typical filters as the Gaussian filter, the extended Gaussian function (EGF) filter and the isotropic orthogonal transfer algorithm (IOTA) filter have been employed for comparison. According to our theoretical analysis, with the use of the IOTA filter, optical impairments and channel estimation complexities could be decreased evidently thanks to the promising isotropic Property. As shown in the numerous Montel Carlo simulations of the coherent optical OFDM/OQAM, system robustness against IMI, phase noise induced interference (PNII) and nonlinear effect could be improved evidently with the use of the IOTA filter.
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Analysis of the Time-Frequency Localization Property of the Filter Banks for Nonlinear Optical OFDM/OQAM Systems Based Voltterra Series
2019 Asia Communications and Photonics Conference (ACP), 2019Co-Authors: Xi Fang, Lei Zhang, Ding Ding, Guiqiu JiangAbstract:In this paper, we systemically analyzed the effect of the TFL Property of four typical filter banks on the nonlinear interference based on Voltterra series by calculation and simulation, for the first time.
Z. Tufekci - One of the best experts on this subject based on the ideXlab platform.
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Mel-scaled discrete wavelet coefficients for speech recognition
2000 IEEE International Conference on Acoustics Speech and Signal Processing. Proceedings (Cat. No.00CH37100), 2000Co-Authors: J.n. Gowdy, Z. TufekciAbstract:In this paper we propose a new feature vector consisting of mel-frequency discrete wavelet coefficients (MFDWC). The MFDWC are obtained by applying the discrete wavelet transform (DWT) to the mel-scaled log filterbank energies of a speech frame. The purpose of using the DWT is to benefit from its Localization Property in the time and frequency domains. MFDWC are similar to subband-based (SUB) features and multi-resolution (MULT) features in that both attempt to achieve good time and frequency Localization. However, MFDWC have better time/frequency Localization than SUB features and MULT features. We evaluated the performance of new features for clean speech and noisy speech and compared the performance of MFDWC with mel-frequency cepstral coefficients (MFCC), SUB features and MULT features. Experimental results on a phoneme recognition task showed that a MFDWC-based recognizer gave better results than recognizers based on MFCC, SUB features, and MULT features for the white gaussian noise, band-limited white gaussian noise and clean speech cases.
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Feature extraction using discrete wavelet transform for speech recognition
Proceedings of the IEEE SoutheastCon 2000. 'Preparing for The New Millennium' (Cat. No.00CH37105), 2000Co-Authors: Z. Tufekci, J.n. GowdyAbstract:We propose a new feature vector consisting of mel-frequency discrete wavelet coefficients (MFDWC). The MFDWC are obtained by applying the discrete wavelet transform (DWT) to the mel-scaled log filterbank energies of a speech frame. The purpose of using the DWT is to benefit from its Localization Property in the time and frequency domains. MFDWC are similar to subband-based (SUB) features and multi-resolution (MULT) features in that both attempt to achieve good time and frequency Localization. However, MFDWC have better time/frequency Localization than SUB features and MULT features. We evaluated the performance of new features for clean speech and noisy speech and compared the performance of MFDWC with mel-frequency cepstral coefficients (MFCC), SUB features and MULT features. Experimental results on a phoneme recognition task showed that a MFDWC-based recognizer gave better results than recognizers based on MFCC, SUB features, and MULT features for white Gaussian noise, band-limited white Gaussian noise and clean speech cases.
J.n. Gowdy - One of the best experts on this subject based on the ideXlab platform.
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Mel-scaled discrete wavelet coefficients for speech recognition
2000 IEEE International Conference on Acoustics Speech and Signal Processing. Proceedings (Cat. No.00CH37100), 2000Co-Authors: J.n. Gowdy, Z. TufekciAbstract:In this paper we propose a new feature vector consisting of mel-frequency discrete wavelet coefficients (MFDWC). The MFDWC are obtained by applying the discrete wavelet transform (DWT) to the mel-scaled log filterbank energies of a speech frame. The purpose of using the DWT is to benefit from its Localization Property in the time and frequency domains. MFDWC are similar to subband-based (SUB) features and multi-resolution (MULT) features in that both attempt to achieve good time and frequency Localization. However, MFDWC have better time/frequency Localization than SUB features and MULT features. We evaluated the performance of new features for clean speech and noisy speech and compared the performance of MFDWC with mel-frequency cepstral coefficients (MFCC), SUB features and MULT features. Experimental results on a phoneme recognition task showed that a MFDWC-based recognizer gave better results than recognizers based on MFCC, SUB features, and MULT features for the white gaussian noise, band-limited white gaussian noise and clean speech cases.
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Feature extraction using discrete wavelet transform for speech recognition
Proceedings of the IEEE SoutheastCon 2000. 'Preparing for The New Millennium' (Cat. No.00CH37105), 2000Co-Authors: Z. Tufekci, J.n. GowdyAbstract:We propose a new feature vector consisting of mel-frequency discrete wavelet coefficients (MFDWC). The MFDWC are obtained by applying the discrete wavelet transform (DWT) to the mel-scaled log filterbank energies of a speech frame. The purpose of using the DWT is to benefit from its Localization Property in the time and frequency domains. MFDWC are similar to subband-based (SUB) features and multi-resolution (MULT) features in that both attempt to achieve good time and frequency Localization. However, MFDWC have better time/frequency Localization than SUB features and MULT features. We evaluated the performance of new features for clean speech and noisy speech and compared the performance of MFDWC with mel-frequency cepstral coefficients (MFCC), SUB features and MULT features. Experimental results on a phoneme recognition task showed that a MFDWC-based recognizer gave better results than recognizers based on MFCC, SUB features, and MULT features for white Gaussian noise, band-limited white Gaussian noise and clean speech cases.
