A G.711 Embedded Wideband Speech Coding for VoIP Conferences

Hiwasaki, Yusuke

doi:10.1093/ietisy/e89-d.9.2542

Cited by 17 publications

(8 citation statements)

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“…Namely, while the codec described in [16] achieves a better signal quality by 0.5 dB than that achieved by the G.711 standard, at a bit rate of 10 bits/sample, our model achieves a better signal quality by 4.2 dB at around 7 bits/sample. In addition, our proposed forward-adaptive nonuniform companding quantizer is much simpler in terms of practical realization than the codec with vector companding described in [16].…”

Section: Numerical Results and Discussionmentioning

confidence: 71%

“…The advantage of our proposed forward-adaptive nonuniform companding quantizer can be seen in comparison with the codec described in [16]. Namely, while the codec described in [16] achieves a better signal quality by 0.5 dB than that achieved by the G.711 standard, at a bit rate of 10 bits/sample, our model achieves a better signal quality by 4.2 dB at around 7 bits/sample.…”

Section: Numerical Results and Discussionmentioning

confidence: 87%

“…The compression reduces the number of bits necessary to transmit the signal, and in turn reduces CPRI traffic. It was shown that an LTE signal processed in this way achieves significant advantages in terms of signal quality and bit compression, as well as being notably simpler to realize in practice in comparison to the G.711 and G.712 standards and the model described in [16].…”

Section: Discussionmentioning

confidence: 99%

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New adaptive compandor for LTE signal compression based on spline approximations

Velimirović¹,

Maric²

2015

ETRI J

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With the constant increase in network traffic, wireless operators are finding it more challenging to keep network hardware costs to a minimum. At the same time, the energy cost associated with operating a network has increased proportionally. Therefore, the search for higher network capacity is simultaneously accompanied by the search for a cost-efficient network deployment. In this paper, we show that a saving in transmitted signal energy can be achieved at the signal design level by deploying very specific signal processing techniques. Using an orthogonal frequency-division multiplexing signal for Long-Term Evolution networks as an example, we utilize a novel non-uniform companding quantizer to save a transmitted signal energy. Our results show that by using non-uniform quantization it is possible to further optimize 4G wireless networks.

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Section: Numerical Results and Discussionmentioning

confidence: 71%

Section: Numerical Results and Discussionmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 99%

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New adaptive compandor for LTE signal compression based on spline approximations

Velimirović¹,

Maric²

2015

ETRI J

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“…One of those services was high quality IP telephone service, which enables wideband speech communication via telephone using 7-kHz wideband speech coding such as the UEMCLIP (IETF RFC5686) [3] and ITU-T G.711.1. However, telephone handsets that cannot handle wideband speech communication (even if they use wideband speech coding) cannot be used in evaluating wideband service quality.…”

Section: Introductionmentioning

confidence: 99%

Development of wideband handset for high quality IP telephone service trial

Okamoto

Noguchi

Hiwasaki

et al. 2014

2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)

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Since 2007, high quality IP telephone service has been provided over a Next Generation Network (NGN) developed by Nippon Telegraph and Telephone Corporation (NTT) Group of Japan. Prior to the commencement of service provision, a wideband telephone handset was developed on an experimental basis and tested in a field trial to verify service validity. The handset demonstrated improved characteristics over those of conventional telephone handsets.

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“…The G.711.1 standard should be compatible with G.711 standard, and should also have a little additional delay and hardware. A vast amount of research is done and many solutions are proposed [11][12][13][14]. Our solutions fulfill all stated requirements, so they can be implemented in the low-frequency part of that extended standard (from 0 to 4 kHz).…”

mentioning

confidence: 99%

Forward Adaptive Logarithmic Quantizer with New Lossless Coding Method for Laplacian Source

Perić

Dincic

Denić

et al. 2010

Wireless Pers Commun

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The aim of this paper is to improve the G.711 standard, which is widely used, especially in the public switched telephone network (PSTN). Two solutions are proposed. The first solution uses only lossless coder, achieving a bit-rate decrease of 0.82 bits/sample, compared to the G.711 codec. The second solution uses forward adaptation and a lossless coder, further decreasing the bit-rate (by 1.25 bits/sample) and achieving higher average signal-to-quantization noise ratio (SQNR) in comparison with the G.711 codec. Also, the second solution is more robust than the G.711 codec, which means that it has near constant SQNR for a wide range of input signal power. That is very important for signals whose input power varies with time, such as speech and video signals. Our solutions are compatible with the G.711 codec, they have little additional complexity and delay and therefore can be applied in real-time systems, such as PSTN or VoIP. They can also be used in many other systems, such as WiMax and OFDM, as a replacement or improvement of the G.711 codec. Standardization process of the G.711.1 standard (which is a wide-band extension of the G.711 standard) is largely present. Our solutions fulfill all the requirements for that new standard; therefore they can be implemented in its low-frequency part.

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A G.711 Embedded Wideband Speech Coding for VoIP Conferences

Cited by 17 publications

References 0 publications

New adaptive compandor for LTE signal compression based on spline approximations

New adaptive compandor for LTE signal compression based on spline approximations

Development of wideband handset for high quality IP telephone service trial

Forward Adaptive Logarithmic Quantizer with New Lossless Coding Method for Laplacian Source

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