7 papers · ranked by Valyu relevance
Jianing V. Shi, Jim Wielaard, R. Theodore Smith, Paul Sajda
Sparse coding has been posited as an efficient information processing strategy employed by sensory systems, particularly visual cortex. Substantial theoretical and experimental work has focused on the issue of sparse encoding, namely how the early visual system maps the scene into a sparse representation. In this paper…
Yanbo Lian, Anthony N. Burkitt, Boris S. Gutkin
Sparse coding, predictive coding and divisive normalization have each been found to be principles that underlie the function of neural circuits in many parts of the brain, supported by substantial experimental evidence. However, the connections between these related principles are still poorly understood. Sparse coding…
Rachna Srivastava, Vincent C. Gaudet, Patrick Mitran
This paper describes a field-programmable gate array (FPGA) implementation of a fixed-point low-density lattice code (LDLC) decoder where the Gaussian mixture messages that are exchanged during the iterative decoding process are approximated to a single Gaussian. A detailed quantization study is first performed to find…
Carlos A. Loza, Mikael Skoglund
Sparse coding aims to find a parsimonious representation of an example given an observation matrix or dictionary. In this regard, Orthogonal Matching Pursuit (OMP) provides an intuitive, simple and fast approximation of the optimal solution. However, its main building block is anchored on the minimization of the Mean…
Eric McVoy Dodds, Michael Robert DeWeese
Sparse coding models of natural images and sounds have been able to predict several response properties of neurons in the visual and auditory systems. While the success of these models suggests that the structure they capture is universal across domains to some degree, it is not yet clear which aspects of this…
Jingjian Li, Wei Wang, Hong Mo, Mengting Zhao + 3 more
'Derya Malak' 'Song-Nam Hong'] A distributed arithmetic coding algorithm based on source symbol purging and using the context model is proposed to solve the asymmetric Slepian-Wolf problem. The proposed scheme is to make better use of both the correlation between adjacent symbols in the source sequence and the…
Mikhail Bakulin, Vitaly Kreyndelin, Sergei Melnik, Vladimir Sudovtsev + 2 more
'Vladimir Sudovtsev' 'Dmitry Petrov' 'Oleg Varlamov'] One of the development directions of new-generation mobile communications is using multiple-input multiple-output (MIMO) channels with a large number of antennas. This requires the development and utilization of new approaches to signal detection in MIMO channels…