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CORR
2004
Springer
116views Education» more  CORR 2004»
13 years 4 months ago
Two Methods for Decreasing the Computational Complexity of the MIMO ML Decoder
We propose use of QR decomposition with sort and Dijkstra's algorithm for decreasing the computational complexity of the sphere decoder that is used for ML detection of signa...
Takayuki Fukatani, Ryutaroh Matsumoto, Tomohiko Uy...
TSP
2011
141views more  TSP 2011»
12 years 11 months ago
Algorithms for Interpolation-Based QR Decomposition in MIMO-OFDM Systems
The extension of multiple-input multiple-output (MIMO) sphere decoding from the narrowband case to wideband systems based on orthogonal frequency division multiplexing (OFDM) requ...
Davide Cescato, Helmut Bölcskei
ICASSP
2011
IEEE
12 years 8 months ago
On the implementation of MIMO-OFDM schemes using perturbation of the QR decomposition: Application to 3GPP LTE-a systems
Consider a flat-fading Multiple-Input Multiple-Output (MIMO) system. The near-optimum detection problematic has been shown to be efficiently solved through QR Decomposition (QRD...
Sébastien Aubert, Jane Tournois, Fabienne N...
ICPR
2008
IEEE
13 years 11 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
NIPS
2004
13 years 6 months ago
Efficient Kernel Discriminant Analysis via QR Decomposition
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladi...