Results 81 to 90 of about 80,517 (261)

Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing

IEEE Access, 2018
In space–time adaptive processing (STAP) technique, the estimation of the interference-plus-noise covariance matrix is one of the critical points.
Yu Zhao, Shaohua Wan, Songtao Lu, Jinping Sun, Peng Lei   +4 more
doaj   +1 more source

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

Advanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren, Hong Wang, Chak Wang Tse, Yi Zheng, Xi Chen, Wenqi Hu   +5 more
wiley   +1 more source

Covariance Matrix Reconstruction via Residual Noise Elimination and Interference Powers Estimation for Robust Adaptive Beamforming

IEEE Access, 2019
Recently, a number of robust adaptive beamforming (RAB) methods based on Capon power spectrum estimator integrated over a specific region for covariance matrix reconstruction have been proposed.
Xingyu Zhu, Zhongfu Ye, Xu Xu, Rui Zheng
doaj   +1 more source

Robust Covariance Matrix Estimation for High-Dimensional Compositional Data with Application to Sales Data Analysis. [PDF]

J Bus Econ Stat, 2023
Li D, Srinivasan A, Chen Q, Xue L.
europepmc   +1 more source

Intramolecular Interactions between Folded and Disordered Regions Shape Ubiquilin Structure and Function

Advanced Science, EarlyView.
Ubiquilin (UBQLN), like many other human proteins, contains both well‐folded and disordered regions. Here, we show that intramolecular interactions between disordered regions and folded domains modulate between open and closed topologies of UBQLN proteins, altering their structure and function.
Jessica K. Niblo, Nirbhik Acharya, Maxwell B. Watkins, Carlos A. Castañeda, Shahar Sukenik   +4 more
wiley   +1 more source

Information Geometry for Covariance Estimation in Heterogeneous Clutter with Total Bregman Divergence

Entropy, 2018
This paper presents a covariance matrix estimation method based on information geometry in a heterogeneous clutter. In particular, the problem of covariance estimation is reformulated as the computation of geometric median for covariance matrices ...
Xiaoqiang Hua, Yongqiang Cheng, Hongqiang Wang, Yuliang Qin   +3 more
doaj   +1 more source

Improved Speech Spatial Covariance Matrix Estimation for Online Multi-Microphone Speech Enhancement. [PDF]

Sensors (Basel), 2022
Kim M, Cheong S, Song H, Shin JW.
europepmc   +1 more source

Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation [PDF]

Econometrica, 1991
This paper is concerned with the estimation of covariance matrices in the presence of heteroskedasticity and autocorrelation of unknown forms. Currently available estimators that are designed for this context depend upon the choice of a lag truncation parameter and a weighting scheme.
openaire   +1 more source

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

Advanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li, Jin Ning, An Wang, Minxi Shi, Yuanze Chen, Guoliang Liu, Shiquan Sun   +6 more
wiley   +1 more source

Optimal algorithm for distributed scatterer InSAR phase estimation based on cross-correlation complex coherence matrix

International Journal of Applied Earth Observations and Geoinformation
Low scattering terrain areas introduce complex phase interference, which reduces the accuracy of deformation signal estimation in InSAR(Interferometric Synthetic Aperture Radar) techniques. Existing covariance matrix-based InSAR phase calculation methods
Dingyi Zhou, Zhifang Zhao
doaj   +1 more source