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    IJBRA
    2007
    80views more  IJBRA 2007»
    On predicting secondary structure transition
    13 years 7 months ago
    On predicting secondary structure transition
    Download  www.biotconf.org
    A function of a protein is dependent on its structure; therefore, predicting a protein structure from an amino acid sequence is an active area of research. Optimally predicting a ...
    Raja Loganantharaj, Vivek Philip
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    TCOM
    2008
    100views more  TCOM 2008»
    On the performance of concatenated convolutional code and Alamouti space-time code with noisy channel estimates and finite-depth
    13 years 7 months ago
    On the performance of concatenated convolutional code and Alamouti space-time code with noisy channel estimates and finite-depth
    Download  zeidler.ucsd.edu
    Abstract--In this paper, performance of the Alamouti spacetime code (STC) [1] and performance of the concatenation between the convolutional code and the Alamouti STC are derived. ...
    Jittra Jootar, James R. Zeidler, John G. Proakis
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    TCOM
    2008
    124views more  TCOM 2008»
    Reliable adaptive modulation and interference mitigation for mobile radio slow frequency hopping channels
    13 years 7 months ago
    Reliable adaptive modulation and interference mitigation for mobile radio slow frequency hopping channels
    Download  www.physics.ncsu.edu
    : Due to correlated fading in frequency hopping (FH) wireless communication systems, it is possible to predict the future channel state information (CSI) for one frequency based on...
    Ming Lei, Alexandra Duel-Hallen, Hans Hallen
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    TELSYS
    2008
    99views more  TELSYS 2008»
    Mote-based underwater sensor networks: opportunities, challenges, and guidelines
    13 years 7 months ago
    Mote-based underwater sensor networks: opportunities, challenges, and guidelines
    Download  www.ics.uci.edu
    Most underwater networks rely on expensive specialized hardware for acoustic communication and modulation. This has impeded wide scale deployments of underwater sensor networks and...
    Raja Jurdak, Antonio G. Ruzzelli, Gregory M. P. O'...
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    TIP
    2008
    261views more  TIP 2008»
    CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
    13 years 7 months ago
    CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
    Download  www.vsg.dcu.ie
    Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
    Dana Elena Ilea, Paul F. Whelan
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