2008 Eighth International Conference on Intelligent Systems Design and Applications 2008
DOI: 10.1109/isda.2008.203
|View full text |Cite
|
Sign up to set email alerts
|

Low Complexity Search Method for G.723.1 MP-MLQ Algorithm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2011
2011
2024
2024

Publication Types

Select...
3
1
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 7 publications
0
4
0
Order By: Relevance
“…iPSC embryoid body analysis iPSC embryoid body formation and characterization were performed as previously described with modifications (Lin and Chen, 2008). Briefly, iPSCs were cultured in mTeSR1 medium on Matrigel-coated plates, and the medium was changed daily.…”
Section: Alkaline Phosphatase Stainingmentioning
confidence: 99%
“…iPSC embryoid body analysis iPSC embryoid body formation and characterization were performed as previously described with modifications (Lin and Chen, 2008). Briefly, iPSCs were cultured in mTeSR1 medium on Matrigel-coated plates, and the medium was changed daily.…”
Section: Alkaline Phosphatase Stainingmentioning
confidence: 99%
“…Previously, we proposed a fast search algorithm to reduce computational complexity of the MP-MLQ search algorithm [16]. In this algorithm, we estimated candidate pulse positions and used a single multi-track structure instead of the original MP-MLQ structure to reduce the number of combinations of possible pulse positions.…”
Section: Multi-track Fast Mp-mlq Searchmentioning
confidence: 99%
“…Jung's proposed codebook structure arrangement could lose significant excitation pulse at the last track. Lin et al, [16] provided a search method to reduce the computation required of MP-MLQ and Chen et al, [17] provided two complexity scalability approaches to reduce the computation requirements of the ACELP and MP-MLQ.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation