Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, Chih-Lung | en_US |
dc.contributor.author | Wu, Sheng-Jhan | en_US |
dc.contributor.author | Chang, Hsie-Chia | en_US |
dc.contributor.author | Lee, Chen-Yi | en_US |
dc.date.accessioned | 2017-04-21T06:49:42Z | - |
dc.date.available | 2017-04-21T06:49:42Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.isbn | 978-1-4799-4089-9 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/135869 | - |
dc.description.abstract | A low power LDPC convolutional code decoder is implemented in 90nm CMOS technology. The proposal demonstrates a novel FEC candidate based on shift/shared memory architecture for the IEEE 802.15.4g and 802.15.6 body area network applications. Measurement shows the decoder achieves (1) 1 similar to 100Mb/s with power consumption of 0.5 similar to 9.9mW under 0.6V supply voltage (2) better error correcting performance compared with Viterbi decoder under same silicon area. | en_US |
dc.language.iso | en_US | en_US |
dc.title | A 1-100Mb/s 0.5-9.9mW LDPC Convolutional Code Decoder for Body Area Network | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2014 IEEE ASIAN SOLID-STATE CIRCUITS CONFERENCE (A-SSCC) | en_US |
dc.citation.spage | 229 | en_US |
dc.citation.epage | 232 | en_US |
dc.contributor.department | 電子工程學系及電子研究所 | zh_TW |
dc.contributor.department | Department of Electronics Engineering and Institute of Electronics | en_US |
dc.identifier.wosnumber | WOS:000380484900058 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |