Results 211 to 220 of about 167,277 (264)
Publisher Correction: Adaptor-mediated recruitment of three dyneins to dynactin enhances force generation. [PDF]
Nat Cell BiolRao L +8 more
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Journal of Computational Science, 2021
Abstract This paper proposes an evolutionary Rao algorithm (ERA) to enhance three state-of-the-art metaheuristic Rao algorithms (Rao-1, Rao-2, Rao-3) by introducing two new schemes. Firstly, the population is split into two sub-populations based on their qualities: high and low, with a particular portion. The high-quality sub-population searches for
, Said Al Faraby, Siti Saadah
exaly +2 more sources
Abstract This paper proposes an evolutionary Rao algorithm (ERA) to enhance three state-of-the-art metaheuristic Rao algorithms (Rao-1, Rao-2, Rao-3) by introducing two new schemes. Firstly, the population is split into two sub-populations based on their qualities: high and low, with a particular portion. The high-quality sub-population searches for
, Said Al Faraby, Siti Saadah
exaly +2 more sources
The Complex Parameter Rao Test
IEEE Transactions on Signal Processing, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Steven Kay, Zhenghan Zhu
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Mathematical Notes, 2004
For \(N=2^s\) in the space of \(N\)-periodic functions of integer-valued argument \(s\) orthogonal bases are constructed such that the elements of the \(r\)-th basis for \(r\in\{1, \dots,s\}\) take \(2^r\) values, which are uniformly distributed on the unit circle of the complex plane.
Korovkin, A. V., Malozemov, V. N.
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For \(N=2^s\) in the space of \(N\)-periodic functions of integer-valued argument \(s\) orthogonal bases are constructed such that the elements of the \(r\)-th basis for \(r\in\{1, \dots,s\}\) take \(2^r\) values, which are uniformly distributed on the unit circle of the complex plane.
Korovkin, A. V., Malozemov, V. N.
openaire +2 more sources
Geometry of the Cramer-Rao bound
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing, 1993The problem of identifying parameters, that structure the mean vector in a multivariate normal distribution, is considered. The Fisher matrix (this is a Gramian constructed from the sensitivity vectors that are the first order variation in the mean with respect to the parameters) and its inverse are studied.
Louis L. Scharf, L. Todd McWhorter
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