The Experts below are selected from a list of 7350 Experts worldwide ranked by ideXlab platform

Lajos Hanzo - One of the best experts on this subject based on the ideXlab platform.

  • EUSIPCO - Joint iterative-detection of reversible variable-length coded constant bit rate vector-quantized video and Coded Modulation
    2004
    Co-Authors: Robert G. Maunder, L L Yang, J. Wang, Lajos Hanzo
    Abstract:

    Joint video-coding, channel-coding and modulation schemes based on a constant bit rate (CBR) video codec, Variable Length Codes (VLCs) as well as Trellis Coded Modulation (TCM) and Turbo TCM (TTCM) schemes are proposed. These arrangements have a latency of a single video frame duration. A significant coding gain is achieved without bandwidth expansion with the advent of iterative decoding exchanging extrinsic information between the VLC and the TCM or TTCM decoders. The performance of the proposed schemes was evaluated for transmission over uncorrelated Rayleigh fading channels and the best scheme was found to be about 3 dB from the Rayleigh channel's capacity limit.

  • Joint iterative-detection of reversible variable-length coded constant bit rate vector-quantized video and Coded Modulation
    2004 12th European Signal Processing Conference, 2004
    Co-Authors: S. X. Ng, Robert G. Maunder, L L Yang, J. Wang, Lajos Hanzo
    Abstract:

    Joint video-coding, channel-coding and modulation schemes based on a constant bit rate (CBR) video codec, Variable Length Codes (VLCs) as well as Trellis Coded Modulation (TCM) and Turbo TCM (TTCM) schemes are proposed. These arrangements have a latency of a single video frame duration. A significant coding gain is achieved without bandwidth expansion with the advent of iterative decoding exchanging extrinsic information between the VLC and the TCM or TTCM decoders. The performance of the proposed schemes was evaluated for transmission over uncorrelated Rayleigh fading channels and the best scheme was found to be about 3 dB from the Rayleigh channel's capacity limit.

  • VTC Fall (2) - Turbo detection of space-time trellis-coded constant bit rate vector-quantised videophone system using reversible variable-length codes, convolutional codes and turbo codes
    IEEE 60th Vehicular Technology Conference 2004. VTC2004-Fall. 2004, 1
    Co-Authors: B.l. Yeap, Robert G. Maunder, Lajos Hanzo
    Abstract:

    We characterise the achievable performance of a proprietary video transmission system which employs a constant bit rate (CBR) video codec that is concatenated with one of three error correction codes, namely a reversible variable-length code (RVLC), a convolutional code (CC) or a convolutional-based turbo code (TC). The CBR video codec is invoked in conjunction with space-time trellis coding (STTC) designed for transmission over a dispersive Rayleigh fading channel. At the receiver, the channel equaliser, the STTC decoder and the RVLC, CC or TC decoder, as appropriate, employ the max-log maximum a-posteriori (MAP) algorithm and their operations are performed in an iterative 'turbo detection' fashion. The systems are designed to maintain similar error-free video reconstruction qualities. which are found to be subjectively pleasing at a peak signal-to-noise ratio (PSNR) of 30.6 dB, at a similar decoding complexity per decoding iteration. These design criteria are achieved by using different transmission rates, with the CC and TC schemes having a 22% higher bandwidth requirement. The results demonstrate that the TC, RVLC and CC systems achieve acceptable subjective reconstructed video quality associated with an average PSNR in excess of 30 dB for E/sub b//N/sub 0/ values above 4.6 dB, 6.4 dB and 7.7 dB, respectively. The design choice between the TC and RVLC systems constitutes a trade-off between the increased error resilience of the TC-based scheme and the reduced bandwidth requirement of the RVLC-based scheme.

B.l. Yeap - One of the best experts on this subject based on the ideXlab platform.

  • Turbo detection of space-time trellis-coded constant bit rate vector-quantised videophone system using reversible variable-length codes, convolutional codes and turbo codes
    IEEE 60th Vehicular Technology Conference 2004. VTC2004-Fall. 2004, 2004
    Co-Authors: B.l. Yeap, S. X. Ng, R.g. Maunder, L. Hanzo
    Abstract:

    We characterise the achievable performance of a proprietary video transmission system which employs a constant bit rate (CBR) video codec that is concatenated with one of three error correction codes, namely a reversible variable-length code (RVLC), a convolutional code (CC) or a convolutional-based turbo code (TC). The CBR video codec is invoked in conjunction with space-time trellis coding (STTC) designed for transmission over a dispersive Rayleigh fading channel. At the receiver, the channel equaliser, the STTC decoder and the RVLC, CC or TC decoder, as appropriate, employ the max-log maximum a-posteriori (MAP) algorithm and their operations are performed in an iterative 'turbo detection' fashion. The systems are designed to maintain similar error-free video reconstruction qualities. which are found to be subjectively pleasing at a peak signal-to-noise ratio (PSNR) of 30.6 dB, at a similar decoding complexity per decoding iteration. These design criteria are achieved by using different transmission rates, with the CC and TC schemes having a 22% higher bandwidth requirement. The results demonstrate that the TC, RVLC and CC systems achieve acceptable subjective reconstructed video quality associated with an average PSNR in excess of 30 dB for E/sub b//N/sub 0/ values above 4.6 dB, 6.4 dB and 7.7 dB, respectively. The design choice between the TC and RVLC systems constitutes a trade-off between the increased error resilience of the TC-based scheme and the reduced bandwidth requirement of the RVLC-based scheme.

  • VTC Fall (2) - Turbo detection of space-time trellis-coded constant bit rate vector-quantised videophone system using reversible variable-length codes, convolutional codes and turbo codes
    IEEE 60th Vehicular Technology Conference 2004. VTC2004-Fall. 2004, 1
    Co-Authors: B.l. Yeap, Robert G. Maunder, Lajos Hanzo
    Abstract:

    We characterise the achievable performance of a proprietary video transmission system which employs a constant bit rate (CBR) video codec that is concatenated with one of three error correction codes, namely a reversible variable-length code (RVLC), a convolutional code (CC) or a convolutional-based turbo code (TC). The CBR video codec is invoked in conjunction with space-time trellis coding (STTC) designed for transmission over a dispersive Rayleigh fading channel. At the receiver, the channel equaliser, the STTC decoder and the RVLC, CC or TC decoder, as appropriate, employ the max-log maximum a-posteriori (MAP) algorithm and their operations are performed in an iterative 'turbo detection' fashion. The systems are designed to maintain similar error-free video reconstruction qualities. which are found to be subjectively pleasing at a peak signal-to-noise ratio (PSNR) of 30.6 dB, at a similar decoding complexity per decoding iteration. These design criteria are achieved by using different transmission rates, with the CC and TC schemes having a 22% higher bandwidth requirement. The results demonstrate that the TC, RVLC and CC systems achieve acceptable subjective reconstructed video quality associated with an average PSNR in excess of 30 dB for E/sub b//N/sub 0/ values above 4.6 dB, 6.4 dB and 7.7 dB, respectively. The design choice between the TC and RVLC systems constitutes a trade-off between the increased error resilience of the TC-based scheme and the reduced bandwidth requirement of the RVLC-based scheme.

Ivan Marsic - One of the best experts on this subject based on the ideXlab platform.

  • modeling and prediction of session throughput of constant bit rate streams in wireless data networks
    Wireless Communications and Networking Conference, 2003
    Co-Authors: Liang Cheng, Ivan Marsic
    Abstract:

    This paper presents an approach to modeling and prediction of session throughput of constant bit rate streams in wireless data networks. A stable traffic generator is used to generate smooth data streams that are transmitted across various types of wireless connections in real-world wireless data networks, including wireless LANs and wireless cellular WANs. The throughput values of the data streaming sessions are recorded. Based on the analysis of statistical properties of the collected data, linear time series analysis is used to models and predict the session throughput. Autoregressive (AR) models are selected from a number of linear time series models since they can be fit to data in deterministic amount of time. The performance of AR models for prediction is compared to simpler models for prediction is compared to simpler models such as MEAN and window mean (WM) models, and our study shows that successful models, such as AR and WM models, have similar performance in predicting the session throughput of wireless data networks. The main contribution of our research is that by statistical study, it shows that session throughputs in wireless data networks can be modeled and predicted to a useful degree from past values by using linear time series analysis such as AR and WM models.

  • WCNC - Modeling and prediction of session throughput of constant bit rate streams in wireless data networks
    2003 IEEE Wireless Communications and Networking 2003. WCNC 2003., 1
    Co-Authors: Liang Cheng, Ivan Marsic
    Abstract:

    This paper presents an approach to modeling and prediction of session throughput of constant bit rate streams in wireless data networks. A stable traffic generator is used to generate smooth data streams that are transmitted across various types of wireless connections in real-world wireless data networks, including wireless LANs and wireless cellular WANs. The throughput values of the data streaming sessions are recorded. Based on the analysis of statistical properties of the collected data, linear time series analysis is used to models and predict the session throughput. Autoregressive (AR) models are selected from a number of linear time series models since they can be fit to data in deterministic amount of time. The performance of AR models for prediction is compared to simpler models for prediction is compared to simpler models such as MEAN and window mean (WM) models, and our study shows that successful models, such as AR and WM models, have similar performance in predicting the session throughput of wireless data networks. The main contribution of our research is that by statistical study, it shows that session throughputs in wireless data networks can be modeled and predicted to a useful degree from past values by using linear time series analysis such as AR and WM models.

S. X. Ng - One of the best experts on this subject based on the ideXlab platform.

  • Joint iterative-detection of reversible variable-length coded constant bit rate vector-quantized video and Coded Modulation
    2004 12th European Signal Processing Conference, 2004
    Co-Authors: S. X. Ng, Robert G. Maunder, L L Yang, J. Wang, Lajos Hanzo
    Abstract:

    Joint video-coding, channel-coding and modulation schemes based on a constant bit rate (CBR) video codec, Variable Length Codes (VLCs) as well as Trellis Coded Modulation (TCM) and Turbo TCM (TTCM) schemes are proposed. These arrangements have a latency of a single video frame duration. A significant coding gain is achieved without bandwidth expansion with the advent of iterative decoding exchanging extrinsic information between the VLC and the TCM or TTCM decoders. The performance of the proposed schemes was evaluated for transmission over uncorrelated Rayleigh fading channels and the best scheme was found to be about 3 dB from the Rayleigh channel's capacity limit.

  • Turbo detection of space-time trellis-coded constant bit rate vector-quantised videophone system using reversible variable-length codes, convolutional codes and turbo codes
    IEEE 60th Vehicular Technology Conference 2004. VTC2004-Fall. 2004, 2004
    Co-Authors: B.l. Yeap, S. X. Ng, R.g. Maunder, L. Hanzo
    Abstract:

    We characterise the achievable performance of a proprietary video transmission system which employs a constant bit rate (CBR) video codec that is concatenated with one of three error correction codes, namely a reversible variable-length code (RVLC), a convolutional code (CC) or a convolutional-based turbo code (TC). The CBR video codec is invoked in conjunction with space-time trellis coding (STTC) designed for transmission over a dispersive Rayleigh fading channel. At the receiver, the channel equaliser, the STTC decoder and the RVLC, CC or TC decoder, as appropriate, employ the max-log maximum a-posteriori (MAP) algorithm and their operations are performed in an iterative 'turbo detection' fashion. The systems are designed to maintain similar error-free video reconstruction qualities. which are found to be subjectively pleasing at a peak signal-to-noise ratio (PSNR) of 30.6 dB, at a similar decoding complexity per decoding iteration. These design criteria are achieved by using different transmission rates, with the CC and TC schemes having a 22% higher bandwidth requirement. The results demonstrate that the TC, RVLC and CC systems achieve acceptable subjective reconstructed video quality associated with an average PSNR in excess of 30 dB for E/sub b//N/sub 0/ values above 4.6 dB, 6.4 dB and 7.7 dB, respectively. The design choice between the TC and RVLC systems constitutes a trade-off between the increased error resilience of the TC-based scheme and the reduced bandwidth requirement of the RVLC-based scheme.

L. Hanzo - One of the best experts on this subject based on the ideXlab platform.

  • Turbo detection of space-time trellis-coded constant bit rate vector-quantised videophone system using reversible variable-length codes, convolutional codes and turbo codes
    IEEE 60th Vehicular Technology Conference 2004. VTC2004-Fall. 2004, 2004
    Co-Authors: B.l. Yeap, S. X. Ng, R.g. Maunder, L. Hanzo
    Abstract:

    We characterise the achievable performance of a proprietary video transmission system which employs a constant bit rate (CBR) video codec that is concatenated with one of three error correction codes, namely a reversible variable-length code (RVLC), a convolutional code (CC) or a convolutional-based turbo code (TC). The CBR video codec is invoked in conjunction with space-time trellis coding (STTC) designed for transmission over a dispersive Rayleigh fading channel. At the receiver, the channel equaliser, the STTC decoder and the RVLC, CC or TC decoder, as appropriate, employ the max-log maximum a-posteriori (MAP) algorithm and their operations are performed in an iterative 'turbo detection' fashion. The systems are designed to maintain similar error-free video reconstruction qualities. which are found to be subjectively pleasing at a peak signal-to-noise ratio (PSNR) of 30.6 dB, at a similar decoding complexity per decoding iteration. These design criteria are achieved by using different transmission rates, with the CC and TC schemes having a 22% higher bandwidth requirement. The results demonstrate that the TC, RVLC and CC systems achieve acceptable subjective reconstructed video quality associated with an average PSNR in excess of 30 dB for E/sub b//N/sub 0/ values above 4.6 dB, 6.4 dB and 7.7 dB, respectively. The design choice between the TC and RVLC systems constitutes a trade-off between the increased error resilience of the TC-based scheme and the reduced bandwidth requirement of the RVLC-based scheme.