|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM191632791 |
| 003 |
DE-627 |
| 005 |
20231223191555.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231223s2010 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/TIP.2009.2032943
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n0639.xml
|
| 035 |
|
|
|a (DE-627)NLM191632791
|
| 035 |
|
|
|a (NLM)19783503
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Dumitrescu, Sorina
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Unequal erasure protection technique for scalable multistreams
|
| 264 |
|
1 |
|c 2010
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 09.03.2010
|
| 500 |
|
|
|a Date Revised 19.01.2010
|
| 500 |
|
|
|a published: Print-Electronic
|
| 500 |
|
|
|a Citation Status PubMed-not-MEDLINE
|
| 520 |
|
|
|a This paper presents a novel unequal erasure protection (UEP) strategy for the transmission of scalable data, formed by interleaving independently decodable and scalable streams, over packet erasure networks. The technique, termed multistream UEP (M-UEP), differs from the traditional UEP strategy by: 1) placing separate streams in separate packets to establish independence and 2) using permuted systematic Reed-Solomon codes to enhance the distribution of message symbols amongst the packets. M-UEP improves upon UEP by ensuring that all received source symbols are decoded. The R-D optimal redundancy allocation problem for M-UEP is formulated and its globally optimal solution is shown to have a time complexity of O(2(N)N(L+1)(N+1)) , where N is the number of packets and L is the packet length. To address the high complexity of the globally optimal solution, an efficient suboptimal algorithm is proposed which runs in O(N(2)L(2)) time. The proposed M-UEP algorithm is applied on SPIHT coded images in conjunction with an appropriate grouping of wavelet coefficients into streams. The experimental results reveal that M-UEP consistently outperforms the traditional UEP reaching peak improvements of 0.6 dB. Moreover, our tests show that M-UEP is more robust than UEP in adverse channel conditions
|
| 650 |
|
4 |
|a Journal Article
|
| 700 |
1 |
|
|a Rivers, Geoffrey
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Shirani, Shahram
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 19(2010), 2 vom: 01. Feb., Seite 422-34
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
|
| 773 |
1 |
8 |
|g volume:19
|g year:2010
|g number:2
|g day:01
|g month:02
|g pages:422-34
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TIP.2009.2032943
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 19
|j 2010
|e 2
|b 01
|c 02
|h 422-34
|