Showing 141 - 160 results of 2,448 for search '"covariance matrix"', query time: 0.19s Refine Results
  1. 141

    Robust Covariance Matrix Adaptation Evolution Strategy: Optimal Design of Magnetic Devices Considering Material Variation by Akito Maruo, Hajime Igarashi

    Published 2023-01-01
    “…This paper introduces a novel robust optimization method for magnetic devices using the covariance matrix adaptation evolution strategy (CMA-ES). …”
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  2. 142
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    A generalised eigenvalue reweighting covariance matrix estimation algorithm for airborne STAP radar in complex environment by Hao Xiao, Tong Wang, Cai Wen, Bing Ren

    Published 2021-10-01
    “…First, the interference plus noise (IPN) covariance matrix of cell under test (CUT) data is estimated by the selected target‐free training samples around the CUT with the sample covariance matrix method. …”
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  4. 144

    A low‐computational‐cost alternating switches algorithm for real‐valued spatial covariance matrix reconstruction by Changzan Liu, Yan Zhou, Bo Dang

    Published 2022-07-01
    “…By appropriately adjusting the switch connected to each antenna, the real‐valued spatial covariance matrix (SCM) is reconstructed with low‐dimensional vector‐to‐vector multiplication. …”
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  5. 145

    Satellite Interference Source Direction of Arrival (DOA) Estimation Based on Frequency Domain Covariance Matrix Reconstruction by Jinjie Yao, Changchun Zhao, Jiansheng Bai, Yang Ren, Yangyang Wang, Jing Miao

    Published 2023-08-01
    “…The frequency domain covariance matrix of the received array signals is reconstructed by utilizing its covariance matrix property. …”
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  6. 146

    Wavelet Covariance Matrix Structure and Bayesian-Wavelet Estimation of Autoregressive Process Parameters with Long-Term Memory by Mahmod Afshari, Saeed Tahmasbi, Shabnam Shadman

    Published 2020-12-01
    “…In this paper, while briefly introducing wavelet transform in section two, the ARFIMA model and covariance matrix structure of this model is investigated in section three.  …”
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    Covariance Matrix Reconstruction for Direction Finding with Nested Arrays Using Iterative Reweighted Nuclear Norm Minimization by Weijie Tan, Xi’an Feng

    Published 2019-01-01
    “…A novel gridless direction finding method is proposed via the low-rank covariance matrix approximation, which is based on a reweighted nuclear norm optimization. …”
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  10. 150

    Channel Covariance Matrix Estimation via Dimension Reduction for Hybrid MIMO MmWave Communication Systems by Rui Hu, Jun Tong, Jiangtao Xi, Qinghua Guo, Yanguang Yu

    Published 2019-07-01
    “…However, hybrid structures allow only a lower-dimensional signal to be observed, which adds difficulties for channel covariance matrix estimation. In this paper, we formulate the channel covariance estimation as a structured low-rank matrix sensing problem via Kronecker product expansion and use a low-complexity algorithm to solve this problem. …”
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    Channel covariance matrix based secret key generation for low‐power terminals in frequency division duplex systems by Zheng Wan, Kaizhi Huang, Yangming Lou, Yajun Chen

    Published 2021-04-01
    “…This letter proposes a SKG scheme based on the channel covariance matrix in FDD systems. First of all, a novel algorithm is proposed for inferring the downlink channel covariance matrix from the observed uplink channel covariance matrix with the aid of the transformation matrix. …”
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    Technical Note: Variance-covariance matrix and averaging kernels for the Levenberg-Marquardt solution of the retrieval of atmospheric vertical profiles by S. Ceccherini, M. Ridolfi

    Published 2010-03-01
    “…The variance-covariance matrix (VCM) and the averaging kernel matrix (AKM) are widely used tools to characterize atmospheric vertical profiles retrieved from remote sensing measurements. …”
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  20. 160

    A fast STAP method using persymmetry covariance matrix estimation for clutter suppression in airborne MIMO radar by Yan Zhou, Xiaoxuan Chen, Yanyan Li, Lin Wang, Bo Jiang, Dingyi Fang

    Published 2019-02-01
    “…In this method, the clutter covariance matrix is estimated by the original data and the constructed data. …”
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