ACM Home Page
Please provide us with feedback. Feedback
Voice over wireless LAN: a fine-scalable channel-adaptive speech coding scheme
Full text PdfPdf (172 KB)
Source Wireless Mobile Applications And Services On WLAN Hotspots archive
Proceedings of the 3rd ACM international workshop on Wireless mobile applications and services on WLAN hotspots table of contents
Cologne, Germany
POSTER SESSION: Posters table of contents
Pages: 111 - 114  
Year of Publication: 2005
ISBN:1-59593-143-0
Authors
Marco Zibull  University of Goettingen, Germany
André Riedel  University of Goettingen, Germany
Dieter Hogrefe  University of Goettingen, Germany
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 41,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1080730.1080752
What is a DOI?

ABSTRACT

Achieving a fine-scalable and channel-adaptive speech coding scheme to provide reliable voice communication in wireless IP networks is an important challenge that opens new directions for research. In this proposal we review the problems and issues in supporting voice over wireless networks and examine the role of new speech coding techniques and the proper use of existing network protocols aimed at providing adequate quality of service in this difficult environment. We propose a new coding scheme, that fulfills the requirements of robust and reliable VoWLAN expectantly.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
3GPP2. VMR-WB specification published by 3GPP2 and TIA as C.S0052-0 v1.0 and TIA-1016, 2004.
 
2
C. Cordeiro, H. Gossain, R. L. Ashok, and D. P. Agrawal. The last mile: Wireless technologies for broadband and home networks. 21th Brazilian Symposium on Computer Networks in Natal, 2003.
 
3
ETSI. Narrowband coding of speech at around 16 kbps using Adaptive Multi-Rate Narrowband (AMR-NB), 1998.
 
4
N. Franchi, M. Fumagalli, R. Lancini, and S. Tubaro. Multiple description video coding for scalable and robust transmission over IP. IEEE Transactions on Circuits and Systems for Video Technology, 15(3):321--334, March 2005.
 
5
V. K. Goyal. Multiple description coding: Compression meets the network. IEEE Signal Processing Magazine, pages 74--93, September 2001.
 
6
B. M. Hochwald and P. R. Jelenkovic. State learning and mixing in entropy of hidden Markov processes and the Gilbert-Elliott channel. IEEE Transactions on Information Theory, 45(1):128--138, 1999.
 
7
ITU-T. Recommendation G.729a - Coding of Speech at 8 kbit/s using Conjugate-Structure Algebraic-Code-Excited Linear-Prediction (SC-ACELP), 1996.
 
8
ITU-T. Recommendation G.711 - Pulse Code modulation (PCM) of voice frequencies, 1998.
 
9
ITU-T. Recommendation G.722.2 - Wideband coding of speech at around 16 kbps using Adaptive Multi-Rate Wideband (AMR-WB), 2002.
10
 
11
 
12
G. Nair, J. Chou, T. Madejski, K. Perycz, D. Putzolu, and J. Sydir. IEEE 802.16 medium access control and service provisioning. Intel Technology Journal, 8(4):213--228, 2004.
 
13
R. Venkataramani, G. Kramer, and V. K. Goyal. Multiple description coding with many channels. IEEE Trans. Inform. Theory, 49(9):2106--2114, September 2003.

Collaborative Colleagues:
Marco Zibull: colleagues
André Riedel: colleagues
Dieter Hogrefe: colleagues