Search - mil-std-188-110b

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[AI-NN-PR] MIL-Ensemble DL : 0: This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
Update : 2025-03-11 Size : 3.86mb Publisher : wsy
[Program doc] A_Novel_Structure_of_Signal_Demodulation_in_High_ DL : 0: In this paper, a novel demodulation structure in high-frequency (HF) channel is introduced and studied.Frequency-offset estimation, ractionally spaced adaptive equalization and carrier recovery techniques are involved.Frequency-offset correction is carried out based on channel impulse response estimation. ractionally spaced adaptive equalization and carrier recovery are combined with nonlinear decision feedback loop structure􀋈 and the initial value of tap coefficients of equalization are obtained from the previous channel estimation. Simulation is conducted under channel parameters with respect to MIL-STD-188-110B using a Monte Carlo technique. The results show this novel demodulation structure is feasible and efficient in HF channel, the symbol error ratio can reach to 10− 3 in 12dB SNR.-In this paper, a novel demodulation structure in high-frequency (HF) channel is introduced and studied.Frequency-offset estimation, ractionally spaced adaptive equalization and carrier recovery techniques are involved.Frequency-offset correction is carried out based on channel impulse response estimation. ractionally spaced adaptive equalization and carrier recovery are combined with nonlinear decision feedback loop structure􀋈 and the initial value of tap coefficients of equalization are obtained from the previous channel estimation. Simulation is conducted under channel parameters with respect to MIL-STD-188-110B using a Monte Carlo technique. The results show this novel demodulation structure is feasible and efficient in HF channel, the symbol error ratio can reach to 10− 3 in 12dB SNR.
Update : 2025-03-11 Size : 182kb Publisher : Lin