Results 11 to 20 of about 378,239 (243)
Remote Sensing, 2023 Modern radar signal processing techniques make strong use of compressed sensing, affine rank minimization, and robust principle component analysis. The corresponding reconstruction algorithms should fulfill the following desired properties: complex ...
Reinhard Panhuber
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Journal of Engineering, 2022 Massive multiple input multiple output (massive MIMO) is a key technology in fifth-generation (5G) and beyond fifth-generation (B5G) networks. It improves performance metrics such as gain, energy efficiency, spectral efficiency, and bit error rate (BER).
Zelalem Melak Gebeyehu +3 more
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Sensors, 2022 Multi-dimensional parameters joint estimation of multi-targets is introduced to implement super-resolution sensing in range, velocity, azimuth angle, and elevation angle for frequency-modulated continuous waveform (FMCW) radar systems.
Yingchun Li +3 more
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Stress resultant plasticity for shells revisited [PDF]
, 2012 In this work, we revisit the stress resultant elastoplastic geometrically exact shell finite element formulation that is based on the Ilyushin–Shapiro two-surface yield function with isotropic and kinematic hardening.
Brank, Boštjan, Dujc, Jaka
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Low-Complexity Incremental Search-Aided Hybrid Precoding and Combining for Massive MIMO Systems
IEEE Access, 2020 The hybrid precoding and combining algorithms for mmWave massive multiple-input multiple-output (MIMO) systems must consider the trade-off between the complexity and performance of the system. Unfortunately, because of the unit-norm constraint imposed by
Eduard E. Bahingayi, Kyungchun Lee
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User-Base Station Association in HetSNets: Complexity and Efficient Algorithms [PDF]
, 2015 This work considers the problem of user association to small-cell base stations (SBSs) in a heterogeneous and small-cell network (HetSNet). Two optimization problems are investigated, which are maximizing the set of associated users to the SBSs (the ...
Ajib, Wessam +3 more
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Message-Passing Algorithms for Channel Estimation and Decoding Using Approximate Inference [PDF]
, 2012 We design iterative receiver schemes for a generic wireless communication system by treating channel estimation and information decoding as an inference problem in graphical models.
Badiu, Mihai-Alin +4 more
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Radio resource allocation for uplink OFDMA systems with finite symbol alphabet inputs [PDF]
, 2014 In this paper, we consider the radio resource allocation problem for uplink orthogonal frequency-division multiple-access (OFDMA) systems. The existing algorithms have been derived under the assumption of Gaussian inputs due to its closed-form expression
Al-Imari, Mohammed +3 more
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No-wait hybrid flowshop scheduling: models and solotion algorithms [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2016 In this paper hybrid flowshop scheduling problem where some jobs, not all, have to follow no-wait restriction (that is, the operations of that job must be processed with no stop) is examined.
Bahman Naderi
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Joint-Way Compression for LDPC Neural Decoding Algorithm With Tensor-Ring Decomposition
IEEE Access, 2023 In this paper, we propose low complexity joint-way compression algorithms with Tensor-Ring (TR) decomposition and weight sharing to further lower the storage and computational complexity requirements for low density parity check (LDPC) neural decoding ...
Yuanhui Liang +2 more
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