Similar Papers

Paper Title
Journal
Date
Author
A Robust Two-step Iterative Approach for the Identification of Hammerstein Box-Jenkins Systems
Baochang Xu ... Zhu Wang
-
Baochang Xu, et. al.Baochang Xu ... Zhu Wang
03 Aug 2022
Density estimation and application to robust multiuser detection in heavy tailed noise
D.S Pham ... A.M Zoubir
-
D.S Pham, et. al.D.S Pham ... A.M Zoubir
25 Nov 2002
DOA estimation based on fractional low-order multi-sensor time-frequency analysis in heavy tailed noise
Jing Xu ... Yang Cao
Journal of Physics: Conference Series | VOL. 1812
Jing Xu, et. al.Jing Xu ... Yang Cao
01 Feb 2021
Robust iterative decoding of turbo codes in heavy-tailed noise
T.C Chuah
IEE Proceedings - Communications | VOL. 152
T.C ChuahT.C Chuah
01 Jan 2004
View more papers

More From: SIAM Journal on Mathematics of Data Science

Paper Title
Journal
Date
Author
Estimating Gaussian Mixtures Using Sparse Polynomial Moment Systems
Julia Lindberg ... Jose Israel Rodriguez
SIAM Journal on Mathematics of Data Science | VOL. 7
Julia Lindberg, et. al.Julia Lindberg ... Jose Israel Rodriguez
03 Feb 2025
Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices
Aimee Maurais ... Youssef M Marzouk
SIAM Journal on Mathematics of Data Science | VOL. 7
Aimee Maurais, et. al.Aimee Maurais ... Youssef M Marzouk
29 Jan 2025
Nonparametric Finite Mixture Models with Possible Shape Constraints: A Cubic Newton Approach
Haoyue Wang ... Rahul Mazumder
SIAM Journal on Mathematics of Data Science | VOL. -
Haoyue Wang, et. al.Haoyue Wang ... Rahul Mazumder
28 Jan 2025
Randomized Low-Rank Approximations beyond Gaussian Random Matrices
Arvind K Saibaba ... Agnieszka Międlar
SIAM Journal on Mathematics of Data Science | VOL. -
Arvind K Saibaba, et. al.Arvind K Saibaba ... Agnieszka Międlar
16 Jan 2025
View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.