Results 21 to 30 of about 16,496,952 (144)

On the Gaussian Cramér-Rao Bound for Blind Single-Input Multiple-Output System Identification: Fast and Asymptotic Computations

IEEE Access, 2020
The Cramér-Rao Bound (CRB) is a powerful tool to assess the performance limits of a parameter estimation problem for a given statistical model. In particular, the Gaussian CRB (i.e., the CRB obtained assuming the data are Gaussian) corresponds to
Mohamed Nait-Meziane, Karim Abed-Meraim, Zhipeng Zhao, Nguyen Linh Trung   +3 more
doaj   +1 more source

DIAGONALISASI MATRIX FOURIER SEBAGAI CIRI KHAS MATRIX CIRCULANT [PDF]

, 1993
Matrix permutasi cyclic tertentu dapat digunakan untuk mendefinisikan matrix circulant. Matrix circulant merupakan matrix normal, sehingga dapat didiagonalisasi matrix unity tertentu, yaitu matrix Fourier. Diagonalisasi matrix Fourier merupakan ciri khas
KARYADI, KARYADI
core   +1 more source

On the spectral norms of r-circulant matrices with the biperiodic Fibonacci and Lucas numbers

Journal of Inequalities and Applications, 2017
In this paper, we present new upper and lower bounds for the spectral norms of the r-circulant matrices Q=Cr((ba)ξ(1)2q0,(ba)ξ(2)2q1,(ba)ξ(3)2q2,…,(ba)ξ(n)2qn−1) $Q=C_{r} ( (\frac{b}{a} )^{\frac{\xi (1)}{2}}q_{0}, (\frac{b}{a} )^{\frac{\xi(2)}{2}}q_{1}, (
Cahit Köme, Yasin Yazlik
doaj   +1 more source

Units in Z_2(C_2 × D_infinity) [PDF]

International Journal of Group Theory, 2012
In this paper we consider the group algebra R(C_2 ×D_infinity). It is shown that R(C_2 ×D_infinity) can be represented by a 4 × 4 block circulant matrix.
Kanchan Joshi, Pooja Yadav, R. Sharma
doaj  

On the norms of circulant and r-circulant matrices with the hyperharmonic Fibonacci numbers

, 2015
In this paper, we study norms of circulant and r-circulant matrices involving harmonic Fibonacci and hyperharmonic Fibonacci numbers.
Tuglu, Naim and Kizilates, Can
core   +1 more source

spatsurv: An R Package for Bayesian Inference with Spatial Survival Models

Journal of Statistical Software, 2017
Survival methods are used for the statistical modelling of time-to-event data. Survival data are characterized by a set of complete records, in which the time of the event is known; and a set of censored records, in which the event was known to have ...
Benjamin M. Taylor, Barry S. Rowlingson
doaj   +1 more source

The Invertibility, Explicit Determinants, and Inverses of Circulant and Left Circulant and g-Circulant Matrices Involving Any Continuous Fibonacci and Lucas Numbers [PDF]

, 2014
Circulant matrices play an important role in solving delay differential equations. In this paper, circulant type matrices including the circulant and left circulant and g-circulant matrices with any continuous Fibonacci and Lucas numbers are considered ...
Zhaolin Jiang, Dan Li
core   +1 more source

Feature‐Level Analysis and Adversarial Transfer in Rotationally Equivariant Quantum Machine Learning

Advanced Quantum Technologies, Volume 9, Issue 11, November 2026.
A detailed feature‐level analysis reveals how symmetry‐dependent features relate to adversarial transfer robustness in equivariant quantum machine learning models, paving the way for the design of future models with improved robustness. ABSTRACT Group‐equivariant quantum models are designed to exploit symmetry and can improve trainability, but it ...
Maureen Krumtünger
wiley   +1 more source

Circulant Matrix‐Based Box–Behnken Designs With Economic Run Sizes

Quality and Reliability Engineering International, Volume 42, Issue 6, Page 3326-3334, October 2026.
ABSTRACT We introduce Circulant Matrix‐Based Box–Behnken Designs (CBBDs), a new class of three‐level, second‐order response surface designs constructed using circulant matrix structures. These designs satisfy an enhanced orthogonal minimally aliased (OMA∗${\rm OMA}^*$) property: they retain the classical OMA property—where main effects are orthogonal ...
Tung‐Dinh Pham, Nam‐Ky Nguyen
wiley   +1 more source

Two Localization Strategies for Sequential MCMC Data Assimilation With Applications to Nonlinear Non‐Gaussian Geophysical Models

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.
Abstract We present a localized data assimilation (DA) scheme based on sequential Markov Chain Monte Carlo (SMCMC) (Ruzayqat et al., 2024, https://doi.org/10.1002/qj.4710), a provably convergent method for filtering high‐dimensional, nonlinear, and potentially non‐Gaussian state‐space models (SSMs).
Hamza Ruzayqat, Hristo G. Chipilski, Omar Knio   +2 more
wiley   +1 more source