Results 261 to 270 of about 3,422,913 (297)

Pipelined reduced-state sequence estimation

Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137), 2002
The throughput of reduced-state sequence estimation (RSSE) is limited by a substantially longer recursive loop than the add-compare-select function, which is the bottleneck of Viterbi decoding. This paper reformulates the RSSE algorithm to allow pipelining of the branch metric and decision-feedback computation.
Erich F. Haratsch, Kamran Azadet
openaire   +2 more sources

Constructing estimator-sequences

1990
The purpose of Section 2 was to justify P(К*(⋅,P)2) as the “as. variance bound” for e.s. Often e.s. attaining this bound can be found by ad hoc methods. In many cases, such e.s. are already available, and the role of the “local theory” is confined to establish their as. optimality. This is, in particular, the case if the tangent space is full, i.e. T(P,
openaire   +1 more source

Recursive least-squares sequence estimation

IBM Journal of Research and Development, 1994
A family of adaptive communication receivers based on recursive least-squares sequence estimation (RLSSE) algorithms is proposed which provides performance comparable to that of conventional linear receivers, but with reduced complexity and less sensitivity to channel mismatch.
openaire   +2 more sources

Raising the estimate of functional human sequences.

Genome research, 2007
While less than 1.5% of the mammalian genome encodes proteins, it is now evident that the vast majority is transcribed, mainly into non-protein-coding RNAs. This raises the question of what fraction of the genome is functional, i.e., composed of sequences that yield functional products, are required for the expression (regulation or processing) of ...
Pheasant, M., Mattick, J. S.
openaire   +4 more sources

Comparing methods of randomizing Sobol′ sequences for improving uncertainty of metrics in variance-based global sensitivity estimation

Reliability Engineering and System Safety, 2021
Xifu Sun, Barry Croke
exaly  

Optimal Kalman Estimation of Symmetrical Sequence Components

IEEE Transactions on Instrumentation and Measurement, 2020
Ivan Nunes da Silva, Mauricio C de Oliveira, Luisa H B Liboni   +2 more
exaly  

Estimating the Variance of Return Sequences for Exploration

2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021
Zerong Xi, Gita Sukthankar
openaire   +1 more source

Sequence effects in the estimation of software development effort

Journal of Systems and Software, 2020
Magne Jørgensen, Torleif Halkjelsvik
exaly  

State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture

Journal of Power Sources, 2020
Chong Bian, Shunkun Yang, Tingting Huang
exaly  

Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences

Transportation Research Part B: Methodological, 2003
Chandra Bhat
exaly