Suchergebnisse - low‐complexity maximum‐a‐posteriori algorithm

  1. 1

    Performance analysis of a low-complexity MAP algorithm for automatic modulation classification in adaptive OFDM systems von Bahrani, Sima, Derakhtian, Mostafa, Zolghadrasli, Alireza

    ISSN: 1751-8628, 1751-8636
    Veröffentlicht: The Institution of Engineering and Technology 24.11.2016
    Veröffentlicht in IET communications (24.11.2016)
    “… In this study, the authors investigate the classification performance of a low-complexity maximum-a-posteriori (MAP) algorithm for AMC …”
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  2. 2

    Low-complexity and low-latency equalization technique – probabilistic noise cancellation von Stojanović, Nebojša, Lin, Youxi, Rahman, Talha, Calabrò, Stefano, Hossain, Md Sabbir-Bin, Wettlin, Tom Jonas, Kuschnerov, Maxim

    ISSN: 1094-4087, 1094-4087
    Veröffentlicht: United States 26.02.2024
    Veröffentlicht in Optics express (26.02.2024)
    “… ) or a maximum a posteriori probability (MAP) algorithm. However, stringent power consumption and latency requirements may limit the use of complex …”
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  3. 3

    Low-complexity algorithms for event detection in wireless sensor networks von Xusheng Sun, Coyle, E J

    ISSN: 0733-8716, 1558-0008
    Veröffentlicht: New York IEEE 01.09.2010
    Veröffentlicht in IEEE journal on selected areas in communications (01.09.2010)
    “… This paper combines a Maximum a Posteriori (MAP) approach for local and global decisions …”
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  4. 4

    Performance Enhancement of MC-CDMA System through Novel Sensitive Bit Algorithm Aided Turbo Multi User Detection von Kumaravel, Rasadurai, Narayanaswamy, Kumaratharan

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: United States Public Library of Science 25.02.2015
    Veröffentlicht in PloS one (25.02.2015)
    “… Multi carrier code division multiple access (MC-CDMA) system is a promising multi carrier modulation (MCM) technique for high data rate wireless communication …”
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  5. 5

    A Low-Complexity Algorithm for Neighbor Discovery in Wireless Networks von Hong, Song-Nam, Kim, Joongheon

    ISSN: 1089-7798, 1558-2558
    Veröffentlicht: New York, NY IEEE 01.07.2014
    Veröffentlicht in IEEE communications letters (01.07.2014)
    “… This problem can be optimally addressed using maximum a posteriori (MAP) estimation, but its implementation is notoriously difficult in practice …”
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    150-Gb/s SEFDM IM/DD transmission using log-MAP Viterbi decoding for short reach optical links von Yu, Baoxian, Guo, Changjian, Yi, Langyu, Zhang, Han, Liu, Jie, Dai, Xianhua, Lau, Alan Pak Tao, Lu, Chao

    ISSN: 1094-4087, 1094-4087
    Veröffentlicht: United States 26.11.2018
    Veröffentlicht in Optics express (26.11.2018)
    “… In this work, we apply SEFDM in beyond 100-Gb/s optical intensity modulation and direct detection transmissions and propose a low-complexity logarithmic-maximum-a-posteriori (log-MAP …”
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  7. 7

    Low-Cost Uplink Sparse Code Multiple Access for Spatial Modulation von Al-Nahhal, Ibrahim, Dobre, Octavia A., Basar, Ertugrul, Ikki, Salama

    ISSN: 0018-9545, 1939-9359
    Veröffentlicht: New York IEEE 01.09.2019
    Veröffentlicht in IEEE transactions on vehicular technology (01.09.2019)
    “… ). For the proposed system, the following are introduced, first, transmitter design and its formulation, second, maximum likelihood and maximum a posteriori probability decoders, and finally, practical …”
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  8. 8

    Performance-Complexity Trade-Off for Low-Complexity MIMO Detection: simplified BP vs. EP Receivers von Mekhiche, Adam, Cipriano, Antonio Maria, Poulliat, Charly

    ISSN: 2577-2465
    Veröffentlicht: IEEE 01.06.2022
    Veröffentlicht in IEEE Vehicular Technology Conference (01.06.2022)
    “… ) and Expectation Propagation (EP) have been proposed to approximate symbol Maximum A Posteriori (MAP) for high dimensional signaling …”
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  9. 9

    Low-Complexity MAP-Based Successive Data Detection for Coded OFDM Systems Over Highly Mobile Wireless Channels von Panayirci, E., Dogan, H., Poor, H. V.

    ISSN: 0018-9545, 1939-9359
    Veröffentlicht: New York, NY IEEE 01.07.2011
    Veröffentlicht in IEEE transactions on vehicular technology (01.07.2011)
    “… ) systems in the presence of frequency-selective and very rapidly time varying channels. New low-complexity maximum a posteriori probability (MAP …”
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  10. 10

    Comparative performance evaluation of error regularized Turbo-MIMO MMSE-SIC detectors in Gaussian channels von Krebs, Alexander, Joham, Michael, Utschick, Wolfgang

    ISSN: 1520-6149
    Veröffentlicht: IEEE 01.04.2015
    “… ) detection algorithms in comparison to optimal maximum a-posteriori probability (MAP) detection and low complexity linear filter detection in a Turbo multiple-input multiple-output (Turbo-MIMO) system …”
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    Low complexity Detector for massive uplink random access with NOMA in IoT LPWA networks von Duchemin, Diane, Gorce, Jean-Marie, Goursaud, Claire

    Veröffentlicht: IEEE 01.04.2019
    “… This algorithm relies on the Maximum A Posteriori (MAP) detector and, similarly to Orthogonal Matching Pursuit (OMP …”
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    Performance of serially concatenated coding schemes for MIMO systems von Altunbas, Ibrahim

    ISSN: 1434-8411, 1618-0399
    Veröffentlicht: Elsevier GmbH 01.01.2007
    “… –time QPSK trellis codes as the inner code. We consider the cases of two transmit and one or two receive antennas with iterative decoding based on the maximum a posteriori (MAP) algorithm …”
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    Sparse Channel Estimation and Equalization for OFDM-Based Underwater Cooperative Systems With Amplify-and-Forward Relaying von Panayirci, Erdal, Senol, Habib, Uysal, Murat, Poor, H. Vincent

    ISSN: 1053-587X, 1941-0476
    Veröffentlicht: IEEE 01.01.2016
    Veröffentlicht in IEEE transactions on signal processing (01.01.2016)
    “… ), are exploited to improve the performance of the channel estimation algorithm. The resulting novel algorithm initially estimates the overall sparse complex-valued channel …”
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  14. 14

    On the Design of Variable-Length Error-Correcting Codes von Ting-Yi Wu, Po-Ning Chen, Alajaji, Fady, Han, Yunghsiang S.

    ISSN: 0090-6778, 1558-0857
    Veröffentlicht: New York, NY IEEE 01.09.2013
    Veröffentlicht in IEEE transactions on communications (01.09.2013)
    “… -length error-correcting codes (VLECs) is considered. Under a fixed free distance constraint, a priority-first search algorithm is devised for finding an optimal VLEC with minimal average codeword length …”
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    Deep Learning-Based Low Complexity MIMO Detection via Partial MAP von Bai, Lin, Zeng, Qingzhe, Han, Rui, Choi, Jinho, Zhang, Wei

    ISSN: 1536-1276, 1558-2248
    Veröffentlicht: New York IEEE 01.03.2025
    Veröffentlicht in IEEE transactions on wireless communications (01.03.2025)
    “… )-based detection have been developed, but they suffer from error propagation. To mitigate error propagation in SIC detectors, a soft-decision based partial maximum a posteriori (MAP …”
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    LDPC-coded unitary space-time modulation with low-complexity iterative demodulate-decoding scheme von Wang, Li-Jiao, Zhang, Lin, Yang, Ling-Ling, Peng, Li, Fu, Da-Wei

    ISSN: 1000-436X
    Veröffentlicht: Editorial Department of Journal on Communications 01.02.2014
    Veröffentlicht in Tongxin Xuebao (01.02.2014)
    “… At the receiver, the maximum a posteriori probability (MAP) demodulating algorithm of the SC-USTM was first designed …”
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  17. 17

    Low-complexity LDPC-coded USTM system based on dual demodulator von Li, Peng, Yang, Lingling

    ISBN: 1849198454, 9781849198455
    Veröffentlicht: Stevenage, UK IET 2014
    “… At the receiver, considering the soft information required by the belief-propagation (BP) iterative decoder of the LDPC code, we deduce a low complexity maximum a posteriori probability (MAP …”
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    Non-binary low-density parity-check codes for the q-ary erasure channel von Garrammone, Giuliano, Paolini, Enrico, Matuz, Balazs, Liva, Gianluigi, Chiani, Marco

    ISSN: 1550-3607
    Veröffentlicht: IEEE 01.06.2013
    “… The finite-length design of non-binary low-density parity-check (LDPC) codes for the q-ary erasure channel under maximum a posteriori (MAP …”
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    CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection With Low Complexity von Beck, Edgar, Bockelmann, Carsten, Dekorsy, Armin

    ISSN: 0090-6778, 1558-0857
    Veröffentlicht: New York IEEE 01.12.2021
    Veröffentlicht in IEEE transactions on communications (01.12.2021)
    “… , massive MIMO systems. The main motivation behind is that the complexity of Maximum A-Posteriori (MAP …”
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    Low-Complexity Soft-Decision Detection for Combating DFE Burst Errors in IM/DD Links von Wu, Kaiquan, Liga, Gabriele, Riani, Jamal, Alvarado, Alex

    ISSN: 0733-8724, 1558-2213
    Veröffentlicht: New York IEEE 01.03.2024
    Veröffentlicht in Journal of lightwave technology (01.03.2024)
    “… ) due to bandwidth-limited hardware. Traditional approaches to mitigate the effects of ISI are filters and trellis-based algorithms targeting symbol-wise maximum a posteriori (MAP) detection …”
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