Results 141 to 150 of about 12,450 (173)

Selecting the complexity of the Moore-Penrose pseudoinverse for emission ghost imaging

Optica Imaging Congress 2025 (3D, DH, COSI, IS, pcAOP,RadIT)
We reconstruct X-ray fluorescence signals produced by synchrotron X-rays. In our method, we select the complexity of a Moore-Penrose pseudoinverse by a data-driven method, and study how systematic errors affect results for simulated data.
Kevin J. Coakley, Huaiyu H. Chen‐Mayer, Bruce Ravel, D. Josell, Н. Н. Климов, Sarah Robinson, Daniel S. Hussey   +6 more
openalex   +2 more sources

Improving execution time for supervised sparse representation classification of hyperspectral images using the Moore–Penrose pseudoinverse

Journal of Applied Remote Sensing, 2019
. Hyperspectral images (HSIs) contain spectral information on the order of hundreds of different wavelengths, providing information beyond the visible range.
Fernando Arias, Heidy Sierra, Emmanuel Arzuaga   +2 more
openalex   +2 more sources

Power flow solution using a novel generalized linear Hopfield network based on Moore–Penrose pseudoinverse

Neural computing & applications (Print), 2021
Veerapandiyan Veerasamy, Noor Izzri Abdul Wahab, Rajeswari Ramachandran, Salah Kamel, Mohammad Lutfi Othman, Hashim Hizam, Rizwan A. Farade   +6 more
openalex   +2 more sources

A robust Moore–Penrose pseudoinverse-based static finite-element solver for simulating non-local fracture in solids

Computer Methods in Applied Mechanics and Engineering, 2022
Reza Alebrahim, P. Thamburaja, Arun R. Srinivasa, J. N. Reddy   +3 more
openalex   +2 more sources

A Practical Approach to the Secure Computation of the Moore–Penrose Pseudoinverse over the Rationals

IACR Cryptology ePrint Archive, 2020
Niek J. Bouman, Niels de Vreede
openalex   +2 more sources

Regression and the Moore-Penrose Pseudoinverse.

, 1975
C. G. Troskie, Arthur Albert
openalex   +2 more sources

Using the Moore-Penrose Pseudoinverse for the EEG Signal Reconstruction

Analysis and Classification of EEG Signals for Brain–Computer Interfaces, 2019
Szczepan Paszkiel
openalex   +2 more sources

Different-level time-varying quadratic minimization using Zhang equivalency and Moore-Penrose pseudoinverse

ACM Cloud and Autonomic Computing Conference, 2017
Yunong Zhang, Min Yang, Binbin Qiu, Huanchang Huang, Haifeng Hu   +4 more
openalex   +2 more sources

System zeros analysis via the Moore-Penrose pseudoinverse and SVD of the first nonzero Markov parameter

IEEE Transactions on Automatic Control, 1998
Jerzy Tokarzewski
semanticscholar   +3 more sources

Three new ZNN models with economical dimension and exponential convergence for real-time solution of moore-penrose pseudoinverse

IEEE International Joint Conference on Neural Network, 2014
Peng Chen, Yingbiao Ling, Ying Wang, Xiaotian Yu, Yunong Zhang   +4 more
openalex   +2 more sources