Results 281 to 290 of about 3,164,796 (323)
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Channel modeling for spread spectrum via evolutionary transform
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004Given the importance of direct sequence spread spectrum (DSSS) communications, the modeling of its transmission channel is of great interest. Due to multipath and Doppler effects in the transmission channel, the transmitted signal is spread in both time and frequency.
L.E. Chaparro, A. Alshehri
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Multi-taper S-transform method for evolutionary spectrum estimation
Mechanical systems and signal processing, 2022Z. Huang, Youâlin Xu, T. Tao
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Evolutionary Algorithms Based Sparse Spectrum Waveform Optimization
2011This chapter presents a technique to determine a suite of 'optimal' waveforms (in the Pareto sense) for a single platform radar system performing multiple radar missions simultaneously. The authors contend that a waveform suite can be determined by applying the Strength Pareto Evolutionary Algorithm 2 (SPEA2) developed by Zitzler et al.
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Strategy Analysis of an Evolutionary Spectrum Sensing Game
2014Evolutionary game has been shown to greatly improve the spectrum sensing performance in cognitive radio. However, as selfish users are shortsighted for the long-term profits, they are not willing to collaborate to sense. In this paper, we propose an evolutionary spectrum sensing game to improve the long-term spectrum utilization.
Dongsheng Ding +3 more
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Fault Diagnosing of Large Rotating Machinery Using Evolutionary Spectrum
Manufacturing Science and Engineering, 1998Abstract Fault diagnosis of large rotating machinery sets is very important for many industry sectors. However, it is also difficult because of its complexity. The conventional fault diagnosis methods are based on FFT spectral analysis.
Minping Jia, R. Du
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Evolutionary Power Spectral Densities Compatible with a Given Response Spectrum
Civil-Comp Proceedings, 2009(atti su CD)
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Spectrum Allocation in Cognitive Radio Networks Using Evolutionary Algorithms
2012One of the key objectives of evolving communication technologies is to maximize the utilization of the available spectrum by increasing the number of simultaneous users while reducing interferences among users. In cognitive radio networks, this problem is referred to as the spectrum allocation problem, and is shown to be NP-Hard.
Abdelbaset S. Hamza +2 more
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Two-Dimensional Evolutionary Spectrum Approach to Nonstationary Fading Channel Modeling
IEEE Transactions on Vehicular Technology, 2016Zhengchuan Chen +3 more
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Evolutionary spectrum inversion and analysis (Especia)
, 2016Quast Ralf
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