Sciweavers

173 search results - page 5 / 35
» An Alternating Minimization Method for Sparse Channel Estima...
Sort
View
TSP
2010
14 years 4 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
ACL
1993
14 years 11 months ago
Contextual Word Similarity and Estimation from Sparse Data
In recent years there is much interest in word cooccurrence relations, such as n-grams, verb-object combinations, or cooccurrence within a limited context. This paper discusses ho...
Ido Dagan, Shaul Marcus, Shaul Markovitch
ISCAS
2008
IEEE
135views Hardware» more  ISCAS 2008»
15 years 4 months ago
Semi-blind channel estimation of MIMO-OFDM systems with pulse shaping
Abstract— Most of the existing MIMO-OFDM channel estimation methods do not take into account the effect of the pulseshaping filter in the transmitter nor of the matched filter ...
Feng Wan, Wei-Ping Zhu, M. N. S. Swamy
ICASSP
2010
IEEE
14 years 10 months ago
Multiple frequency-hopping signal estimation via sparse regression
Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating FH signa...
Daniele Angelosante, Georgios B. Giannakis, Nichol...
CORR
2010
Springer
116views Education» more  CORR 2010»
14 years 10 months ago
Estimation with Random Linear Mixing, Belief Propagation and Compressed Sensing
Abstract--We apply Guo and Wang's relaxed belief propagation (BP) method to the estimation of a random vector from linear measurements followed by a componentwise probabilisti...
Sundeep Rangan