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» New Set of Codes for the Maximum-Likelihood Decoding Problem
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GLOBECOM
2007
IEEE
14 years 3 days ago
Reduced Complexity Sphere Decoding for Square QAM via a New Lattice Representation
— Sphere decoding (SD) is a low complexity maximum likelihood (ML) detection algorithm, which has been adapted for different linear channels in digital communications. The comple...
Luay Azzam, Ender Ayanoglu
CORR
2007
Springer
134views Education» more  CORR 2007»
13 years 5 months ago
On Four-group ML Decodable Distributed Space Time Codes for Cooperative Communication
— A construction of a new family of distributed space time codes (DSTCs) having full diversity and low Maximum Likelihood (ML) decoding complexity is provided for the two phase b...
G. Susinder Rajan, Anshoo Tandon, B. Sundar Rajan
TWC
2008
137views more  TWC 2008»
13 years 5 months ago
Decoding, Performance Analysis, and Optimal Signal Designs for Coordinate Interleaved Orthogonal Designs
Space-time block codes (STBC) using coordinate interleaved orthogonal designs (CIOD) proposed recently by Khan and Rajan allow single-complex symbol decoding and offer higher data ...
Dung Ngoc Dao, Chintha Tellambura
CORR
2007
Springer
158views Education» more  CORR 2007»
13 years 5 months ago
Multi-group ML Decodable Collocated and Distributed Space Time Block Codes
Abstract— In this paper, collocated and distributed spacetime block codes (DSTBCs) which admit multi-group maximum likelihood (ML) decoding are studied. First the collocated case...
G. Susinder Rajan, B. Sundar Rajan
EUROCRYPT
2012
Springer
11 years 8 months ago
Decoding Random Binary Linear Codes in 2 n/20: How 1 + 1 = 0 Improves Information Set Decoding
Decoding random linear codes is a well studied problem with many applications in complexity theory and cryptography. The security of almost all coding and LPN/LWE-based schemes rel...
Anja Becker, Antoine Joux, Alexander May, Alexande...