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» Neural Network Decoders for Linear Block Codes
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GLOBECOM
2007
IEEE
14 years 1 months ago
Overlapped Alamouti Codes
—In most of the existing space–time code designs, achieving full diversity is based on maximum-likelihood (ML) decoding at the receiver that is usually computationally expensiv...
Yue Shang, Xiang-Gen Xia
CORR
2007
Springer
84views Education» more  CORR 2007»
13 years 7 months ago
MMSE Optimal Algebraic Space-Time Codes
—Design of Space-Time Block Codes (STBCs) for Maximum Likelihood (ML) reception has been predominantly the main focus of researchers. However, the ML decoding complexity of STBCs...
G. Susinder Rajan, B. Sundar Rajan
DCC
2010
IEEE
13 years 6 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
IWANN
2005
Springer
14 years 1 months ago
Block LDA for Face Recognition
Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee
ESANN
2008
13 years 9 months ago
A Method for Time Series Prediction using a Combination of Linear Models
This paper presents a new approach for time series prediction using local dynamic modeling. The proposed method is composed of three blocks: a Time Delay Line that transforms the o...
David Martínez-Rego, Oscar Fontenla-Romero,...