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NIPS
1998
13 years 8 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
ICASSP
2010
IEEE
13 years 5 months ago
Speech enhancement with sparse coding in learned dictionaries
The enhancement of speech degraded by non-stationary interferers is a highly relevant and difficult task of many signal processing applications. We present a monaural speech enhan...
Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann
ICMCS
2008
IEEE
194views Multimedia» more  ICMCS 2008»
14 years 1 months ago
Sparse FEC codes for flexible media protection
In this paper, we study block codes that are optimized to recover some lost source data even in case when full recovery is not possible. Conventionally, block codes designed for p...
Jari Korhonen, Pascal Frossard
GLOBECOM
2009
IEEE
14 years 2 months ago
Sparse Decoding of Low Density Parity Check Codes Using Margin Propagation
—One of the key factors underlying the popularity of Low-density parity-check (LDPC) code is its iterative decoding algorithm that is amenable to efficient hardware implementati...
Ming Gu, Kiran Misra, Hayder Radha, Shantanu Chakr...
DCC
2003
IEEE
14 years 7 months ago
Optimal Alphabet Partitioning for Semi-Adaptive Coding of Sources of Unknown Sparse Distributions
Practical applications that employ entropy coding for large alphabets often partition the alphabet set into two or more layers and encode each symbol by using some suitable prefix...
Dan Chen, Yi-Jen Chiang, Nasir D. Memon, Xiaolin W...