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In this paper, SDPSK and 1-bit differential-detected GMSK are proposed for use in a tactical FH-FDMA on-board processing (OBP) satellite communication system. The proposed waveforms are modeled and their respective error performances are simulated under the effects of jamming. Both waveforms, known to be relatively robust for ACI and ISI, are convolutionally encoded and Fast Frequency Hopped (FFH)...
This paper presents simulation results which illustrate the performance of a fast frequency hopped - frequency division multiple access (FFH-FDMA) satellite communication system using a partial processing dehop-rehop transponder (DRT) under jamming. In the simulated system, convolutional coded symbols (using rates 1/2 or 1/4) are hopped with time diversity to enhance the anti-jamming (AJ) capacity...
This paper aims to demonstrate that knowledge-based hybrid learning algorithms are positioned to offer better performance in comparison with purely empirical machine learning algorithms for the automatic classification task associated with the diagnosis of a medical condition described as pulmonary embolism (PE). The main premise is that there exists substantial and significant specialized knowledge...
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