Title | ||
---|---|---|
Information theory meets circuit design: Why capacity-approaching codes require more chip area and power. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/Allerton.2011.6120330 | Allerton |
Keywords | Field | DocType |
VLSI,channel capacity,codes,decoding,error statistics,integrated circuit design,VLSI complexity,capacity-approaching codes,channel capacity,circuit design,communication-complexity technique,decoding circuit power,encoding circuit power,fully-parallel encoding,information theory,low error probability,power consumption | Information theory,Mathematical optimization,Upper and lower bounds,Computer science,Circuit design,Arithmetic,Algorithm,Chip,Decoding methods,Very-large-scale integration,Channel capacity,Encoding (memory) | Conference |
Citations | PageRank | References |
2 | 0.49 | 15 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pulkit Grover | 1 | 557 | 65.99 |
Andrea J. Goldsmith | 2 | 14992 | 1685.67 |
Anant Sahai | 3 | 35 | 4.97 |
Jan M. Rabaey | 4 | 4796 | 1049.96 |