Results 61 to 70 of about 97,244 (184)
An Improved Multiple-Toeplitz Matrices Reconstruction Algorithm for DOA Estimation of Coherent Signals [PDF]
Radioengineering, 2021 The Toeplitz matrix reconstruction algorithms exploit the row vector of an array output covariance matrix to reconstruct Toeplitz matrix, which provide the direction-of-arrival (DOA) estimation of coherent signals.
B. B. Qi, W. Li
doaj
A Probabilistic Interpretation of Sampling Theory of Graph Signals
, 2015 We give a probabilistic interpretation of sampling theory of graph signals. To do this, we first define a generative model for the data using a pairwise Gaussian random field (GRF) which depends on the graph.
Gadde, Akshay, Ortega, Antonio
core +1 more source
Wi-Fi co-channel interference suppression approach in LTE uplink
Tongxin xuebao, 2012 Considering the Wi-Fi co-channel interference in the 3rd generation mobile communication long term evolution (LTE) uplink with multi-received antennas,a new combining approach named interference reconstruction rejection Combining was proposed.Firstly,as ...
Wan-zhi MA +4 more
doaj +2 more sources
High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections
International Journal of Antennas and Propagation, 2016 A high performance robust beamforming scheme is proposed to combat model mismatch. Our method lies in the novel construction of interference-plus-noise (IPN) covariance matrix. The IPN covariance matrix consists of two parts.
Wenxing Li +3 more
doaj +1 more source
Sensors, 2019 An underdetermined direction of arrival (DOA) estimation method of wideband linear frequency modulated (LFM) signals is proposed without grid mismatch.
Yue Cui +4 more
doaj +1 more source
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
, 2019 We address the problem of unsupervised disentanglement of latent representations learnt via deep generative models. In contrast to current approaches that operate on the evidence lower bound (ELBO), we argue that statistical independence in the latent ...
Ansari, Abdul Fatir, Soh, Harold
core +1 more source
Measuring dark matter ellipticity of Abell 901/902 using Particle Based Lensing
, 2009 We present a non-parametric measure of the ellipticity and the alignment of the dark matter halos in Abell 901/902 supercluster. This super-cluster is a system of four separate peaks in a $0.5^{\circ}\times0.5^{\circ}$ field of view.
Andrea Morandi +47 more
core +1 more source
A Space-Time Adaptive Processing Method Based on Sparse Reconstruction of Reverberation Interference
Xibei Gongye Daxue Xuebao, 2020 Aiming at the problem of how to obtain reverberation samples and estimate their covariance matrix in the space-time adaptive processing(STAP) of sonar system, a new space-time adaptive processing method is proposed based on sparse reconstruction of ...
doaj +1 more source
A Compact Formulation for the $\ell_{2,1}$ Mixed-Norm Minimization Problem
, 2016 Parameter estimation from multiple measurement vectors (MMVs) is a fundamental problem in many signal processing applications, e.g., spectral analysis and direction-of- arrival estimation.
Pesavento, Marius +2 more
core +1 more source
Information gain in tomography - A quantum signature of chaos [PDF]
, 2013 We find quantum signatures of classical chaos in various metrics of information gain in quantum tomography. We employ a quantum state estimator based on weak collective measurements of an ensemble of identically prepared systems.
Deutsch, Ivan H. +3 more
core +3 more sources