The Experts below are selected from a list of 144 Experts worldwide ranked by ideXlab platform
Glenn W. Parsons - One of the best experts on this subject based on the ideXlab platform.
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Toll Quality Voice - 32 kbit/s Adaptive Differential Pulse Code Modulation (ADPCM) MIME Sub-type Registration
2004Co-Authors: G. Vaudreuil, Glenn W. ParsonsAbstract:This document describes the registration of the MIME sub-type audio/32KADPCM Adaptive Differential Pulse Code Modulation for toll quality audio. This audio encoding is defined by the ITU-T in Recommendation G.726. [STANDARDS-TRACK]
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Toll Quality Voice - 32 kbit/s Adaptive Differential Pulse Code Modulation (ADPCM) MIME Sub-type Registration
2004Co-Authors: G. Vaudreuil, Glenn W. ParsonsAbstract:This document describes the registration of the MIME sub-type audio/32KADPCM Adaptive Differential Pulse Code Modulation for toll quality audio. This audio encoding is defined by the ITU-T in Recommendation G.726. [STANDARDS-TRACK]
G. Vaudreuil - One of the best experts on this subject based on the ideXlab platform.
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Toll Quality Voice - 32 kbit/s Adaptive Differential Pulse Code Modulation (ADPCM) MIME Sub-type Registration
2004Co-Authors: G. Vaudreuil, Glenn W. ParsonsAbstract:This document describes the registration of the MIME sub-type audio/32KADPCM Adaptive Differential Pulse Code Modulation for toll quality audio. This audio encoding is defined by the ITU-T in Recommendation G.726. [STANDARDS-TRACK]
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Toll Quality Voice - 32 kbit/s Adaptive Differential Pulse Code Modulation (ADPCM) MIME Sub-type Registration
2004Co-Authors: G. Vaudreuil, Glenn W. ParsonsAbstract:This document describes the registration of the MIME sub-type audio/32KADPCM Adaptive Differential Pulse Code Modulation for toll quality audio. This audio encoding is defined by the ITU-T in Recommendation G.726. [STANDARDS-TRACK]
Shilin Xiao - One of the best experts on this subject based on the ideXlab platform.
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Digital mobile fronthaul employing differential Pulse Code Modulation with suppressed quantization noise
Optics Express, 2017Co-Authors: Xiaodan Pang, Urban Westergren, Richard Schatz, Gunnar Jacobsen, Aleksejs Udalcovs, Sergei Popov, Oskars Ozolins, Lena Wosinska, Shilin XiaoAbstract:A differential Pulse Code Modulation (DPCM) based digital mobile fronthaul architecture is proposed and experimentally demonstrated. By using a linear predictor in the DPCM encoding process, the quantization noise can be effectively suppressed and a prediction gain of 7~8 dB can be obtained. Experimental validation is carried out with a 20 km 15-Gbaud/λ 4-level Pulse amplitude Modulation (PAM4) intensity Modulation and direct detection system. The results verify the feasibility of supporting 163, 122, 98, 81 20-MHz 4, 16, 64, 256 QAM based antenna-carrier (AxC) containers with only 3, 4, 5, 6 quantization bits at a sampling rate of 30.72MSa/s in LTE-A environment. Further increasing the number of quantization bits to 8 and 9, 1024 quadrature amplitude Modulation (1024 QAM) and 4096 QAM transmission can be realized with error vector magnitude (EVM) lower than 1% and 0.5%, respectively. The supported number of AxCs in the proposed DPCM-based fronthaul is increased and the EVM is greatly reduced compared to the common public radio interface (CPRI) based fronthaul that uses Pulse Code Modulation. Besides, the DPCM-based fronthaul is also experimentally demonstrated to support universal filtered multicarrier signal that is one candidate waveform for the 5th generation mobile systems.
Xiaodan Pang - One of the best experts on this subject based on the ideXlab platform.
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Digital mobile fronthaul employing differential Pulse Code Modulation with suppressed quantization noise
Optics Express, 2017Co-Authors: Xiaodan Pang, Urban Westergren, Richard Schatz, Gunnar Jacobsen, Aleksejs Udalcovs, Sergei Popov, Oskars Ozolins, Lena Wosinska, Shilin XiaoAbstract:A differential Pulse Code Modulation (DPCM) based digital mobile fronthaul architecture is proposed and experimentally demonstrated. By using a linear predictor in the DPCM encoding process, the quantization noise can be effectively suppressed and a prediction gain of 7~8 dB can be obtained. Experimental validation is carried out with a 20 km 15-Gbaud/λ 4-level Pulse amplitude Modulation (PAM4) intensity Modulation and direct detection system. The results verify the feasibility of supporting 163, 122, 98, 81 20-MHz 4, 16, 64, 256 QAM based antenna-carrier (AxC) containers with only 3, 4, 5, 6 quantization bits at a sampling rate of 30.72MSa/s in LTE-A environment. Further increasing the number of quantization bits to 8 and 9, 1024 quadrature amplitude Modulation (1024 QAM) and 4096 QAM transmission can be realized with error vector magnitude (EVM) lower than 1% and 0.5%, respectively. The supported number of AxCs in the proposed DPCM-based fronthaul is increased and the EVM is greatly reduced compared to the common public radio interface (CPRI) based fronthaul that uses Pulse Code Modulation. Besides, the DPCM-based fronthaul is also experimentally demonstrated to support universal filtered multicarrier signal that is one candidate waveform for the 5th generation mobile systems.
Saira Beg - One of the best experts on this subject based on the ideXlab platform.
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Transference & Retrieval of Pulse-Code Modulation Audio over Short Messaging Service
arXiv: Networking and Internet Architecture, 2012Co-Authors: Muhammad Fahad Khan, Saira BegAbstract:The paper presents the method of transferring PCM (Pulse-Code Modulation) based audio messages through SMS (Short Message Service) over GSM (Global System for Mobile Communications) network. As SMS is text based service, and could not send voice. Our method enables voice transferring through SMS, by converting PCM audio into characters. Than Huffman coding compression technique is applied in order to reduce numbers of characters which will latterly set as payload text of SMS. Testing the said method we develop an application using J2me platform
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Transference& Retrieval of Pulse-Code Modulation Audio over Short Messaging Service
International Journal of Computer Applications, 2011Co-Authors: Muhammad Fahad Khan, Saira BegAbstract:The paper presents the method of transferring PCM (Pulse-Code Modulation) based audio messages through SMS (Short Message Service) over GSM (Global System for Mobile Communications) network. As SMS is text based service, and could not send voice. Our method enables voice transferring through SMS, by converting PCM audio into characters. Than Huffman coding compression technique is applied in order to reduce numbers of characters which will latterly set as payload text of SMS. Testing the said method we develop an application using J2me platform. General Terms Second Generation Network, GSM