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  • Keywords:Predistortion-postdistortion; Recurrent Neural Network  (1)
  • flavonoids  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Antitermitic activity ofLonchocarpus castilloi flavonoids and heartwood extracts (1995)
    Springer
    Journal of chemical ecology 21 (1995), S. 455-463 
    Details
    ISSN: 1573-1561
    Keywords: Feeding deterrents ; termites ; Cryptotermes brevis ; Isoptera ; Lonchocarpus castilloi ; Leguminosae ; heartwood ; flavonoids ; antitermitic activity ; castillen D ; castillen E
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: Abstract The heartwood of the tropical treeLonchocarpus castilloi Standley (Leguminosae) is highly resistant to attack by the drywood termitesCryptotermes brevis (Walker); nevertheless successive extraction with hexane, diethyl ether, acetone, methanol, and water reduced its resistance to these organisms. Antitermitic properties of the extracts were bioassayed using impregnated filter paper disks. Although the five extracts reduced both feeding and survival ofC. brevis, no significant differences among them were detected. Choice feeding tests showed that termites avoided eating the paper treated with the extracts. Two flavonoid compounds isolated from the heartwood, castillen D and castillen E, impregnated into filter paper showed concentration-dependent feeding deterrent activity, but were not toxic toC. brevis.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02036742
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Adaptive Predistortion and Postdistortion for Nonlinear Channel (1999)
    Springer
    Neural computing & applications 8 (1999), S. 339-346 
    Details
    ISSN: 1433-3058
    Keywords: Keywords:Predistortion-postdistortion; Recurrent Neural Network
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract. This paper proposes a new adaptive predistortion-postdistortion scheme based on a recurrent neural network to reduce nonlinear distortion introduced by a high power amplifier in the amplitude and phase of received Quadrature Phase Shift Keying (QPSK) signals in a digital microwave system. The recurrent neural network structure is inspired by the model proposed by Williams and Zipser, with a modified backpropagation algorithm. The input signal is processed by a nonlinear predistorter which reduces the warping effect. The received output signal is passed through a postdistorter to compensate for the warping and clustering effects produced by an amplifier. The proposed scheme yields a significant improvement when it is compared to the system without predistortion-postdistortion, perform-ance is evaluated in terms of the bit error rate and output signal constellation.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s005210050039
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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