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    PIMRC
    2008
    IEEE
    77views Communications» more  PIMRC 2008»
    Post-user-selection quantization and estimation of correlated Frobenius and spectral channel norms
    14 years 2 months ago
    Post-user-selection quantization and estimation of correlated Frobenius and spectral channel norms
    Download  www.ee.kth.se
    Emil Björnson, Björn E. Ottersten
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    ISCAS
    2006
    IEEE
    61views Hardware» more  ISCAS 2006»
    A vector quantizer classifier for blind signal to noise ratio estimation of speech signals
    14 years 1 months ago
    A vector quantizer classifier for blind signal to noise ratio estimation of speech signals
    Download  users.rowan.edu
    R. Ondusko, M. Marbacti, R. P. Ramachandran, L. M....
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    ISCI
    2002
    59views more  ISCI 2002»
    Quantization for distributed estimation using neural networks
    13 years 7 months ago
    Quantization for distributed estimation using neural networks
    Download  www.cis.temple.edu
    Vasileios Megalooikonomou, Yaacov Yesha
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    ICC
    2009
    IEEE
    164views Communications» more  ICC 2009»
    Effects of Imperfect Channel State Information on Achievable Rates of Precoded Multi-User MIMO Broadcast Channels with Limited F
    14 years 2 months ago
    Effects of Imperfect Channel State Information on Achievable Rates of Precoded Multi-User MIMO Broadcast Channels with Limited F
    Download  www4.tu-ilmenau.de
    —We consider multi-user MIMO broadcast channels with limited feedback. A recently proposed linear precoding technique, regularized block diagonalization (RBD), is used to mitigat...
    Bin Song, Martin Haardt
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    IJCNN
    2007
    IEEE
    131views Neural Networks» more  IJCNN 2007»
    Probability Density Function Estimation Using Orthogonal Forward Regression
    14 years 1 months ago
    Probability Density Function Estimation Using Orthogonal Forward Regression
    Download  users.ecs.soton.ac.uk
    — Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
    Sheng Chen, Xia Hong, Chris J. Harris
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