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1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper describes a new variant of the least-mean-squares (LMS) algorithm, with low computational complexity, for updating an adaptive filter. The reduction in complexity is obtained by using values of the input data and the output error, quantized to the nearest power of two, to compute the gradient.
S.S. Mahant-Shetti +2 more
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This paper describes a new variant of the least-mean-squares (LMS) algorithm, with low computational complexity, for updating an adaptive filter. The reduction in complexity is obtained by using values of the input data and the output error, quantized to the nearest power of two, to compute the gradient.
S.S. Mahant-Shetti +2 more
openaire +1 more source
q-log-distributions: Log-concavity and log-convexity
The European Physical Journal Plus, 2018Tsallis statistics along with Tsallis distributions have been attracting considerable attention of statisticians in recent years, since applications of the q-distributions can be found in various fields. However, only until recently, in 2018, a q -logarithm transformation has been considered in order to obtain new Tsallis distributions.
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Low Salinity Oil Recovery - Log-Inject-Log
Proceedings of Middle East Oil Show, 2003Abstract Many laboratory coreflood studies have shown increased oil recovery is achieved by waterflooding using low salinity water, compared with injection of seawater or high salinity produced water. The reasons for this improved oil recovery are thought to be due to effective wettability changes and / or controlled removal of clay ...
K.J. Webb, C.J.J. Black, H. Al-Ajeel
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StUSPACE(log n) ⊂-DSPACE(log2 n/log log n)
1996Eric Allender, Klaus-Jörn Lange
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