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ICCV
2011
IEEE
12 years 7 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
TSP
2012
12 years 3 months ago
Randomized Isometric Linear-Dispersion Space-Time Block Coding for the DF Relay Channel
This article presents a randomized linear-dispersion space-time block code for decode-andforward synchronous relays. The coding matrices are obtained as a set of columns (or rows)...
David Gregoratti, Walid Hachem, Xavier Mestre
IJON
2002
90views more  IJON 2002»
13 years 7 months ago
Linearly decodable functions from neural population codes
The population vector is a linear decoder for an ensemble of neurons, whose response properties are nonlinear functions of the input vector. However, previous analyses of this deco...
M. Brandon Westover, Chris Eliasmith, Charles H. A...
TSP
2010
13 years 2 months ago
Linear precoder design through cut-off rate maximization in MIMO-OFDM coded systems with imperfect CSIT
This paper proposes a linear transmitter design that aims at minimizing the packet error rate (PER) using partial channel state information at the transmitter (CSIT). The design is...
Francesc Rey, Meritxell Lamarca, Gregori Vá...
ICASSP
2011
IEEE
12 years 11 months ago
Linear time decoding of real-field codes over high error rate channels
This paper proposes a novel algorithm for decoding real-field codes over erroneous channels, where the encoded message is corrupted by sparse errors, i.e., impulsive noise. The m...
Zaixing He, Takahiro Ogawa, Miki Haseyama