OFDM Multiple Antennas Cognitive Radio Relay CDMA Synchronization Channel Estimation Spectrum Sharing Interference Cancellation Full duplex Spectrum Sensing Resource Allocation Neural Networks Stochastic Geometry Equalizer Bi-Directional Feedback Femtocell Energy Harvesting Heterogeneous Networks Device-to-Device (D2D) Cross-link interference Cell Search SINR mismatch problem Ultra-dense small cell networks HetNet Idle cells Spectral efficiency Dynamic TDD interference management NOMA FBMC selection diversity Handoff outage probability mode selection B5G multi-spectral achievable sum rate Grant-free Transmission Filtered OFDM tabu-search bursty traffic model flexible duplex 5G Asynchronous Transmission Preamble Deep learning Shortened TTI automatic repeat request (ARQ) Two-way communications transmission capacity (TC) in-band full-duplex system self-interference cancellation Complexity Ultra-dense small cell sensing duration Correlated MIMO Cognitive relay networks Heterogeneous channel estimation capability Bi-directional full-duplex full-duplex cellular full-duplex relay Simultaneous Sensing and Transmission UWB OQAM Windowing Vehicle-to-vehicle communication prototype filter pilot signal LTE-based V2V link reliability resource size control interference to noise ratio eigen decomposition TS-W-OFDM C-V2V massive connectivity Reliability Vehicle-to-Vehicle full-spreading NOMA Resource management Cooperative systems Coexistence scenarios mixed numerology 6G Cell-free Coexisting network Multiple access Railway CP-OFDM MLP Edge computing Full-duplex Mobility non-orthogonal multiple access HST interference mitigation Computation offloading TDD configuration Singular Vale Decomposition
Status : Published 
Date : 1997-11 
Title : Rapid Acquisition Using A Neural Network in DS/SS Communication System 
Authors : Sangmok Lee, Cheolwoo You and Daesik Hong 
Journal : Neurocomputing 
Abstract : In direct-sequence spread-spectrum (DS/SS) systems, an improved acquisitionsystem aided by aneuralnetwork (RANN) enables the rapid and exact synch-process between the locally generated despreading signal and the received spreading signal. Simulation results show that RANN is more efficient than the conventional system (RASE). 
URL : http://www.sciencedirect.com/science/art...1297000295 

Sangmok Lee, Cheolwoo You, Daesik Hong, Rapid acquisition using a neural network in DS/SS communication systems, Neurocomputing, Volume 17, Issues 3–4, November 1997, Pages 135-140, ISSN 0925-2312, 10.1016/S0925-2312(97)00029-5.
(http://www.sciencedirect.com/science/article/pii/S0925231297000295)
Keywords: DS/SS system; Acquisition; Neural networks; RASE

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» [Neuro Computing] Sangmok Lee, Cheolwoo You and Daesik Hong, "Rapid Acquisition Using A Neural Network in DS/SS Communication System", Neurocomputing, Nov 1997 Published  1997-11