Concept

Vector quantization

Related publications (104)

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When bigger is better

Michael Herzog, Bilge Sayim, Mauro Manassi

One of the main factors of crowding is the spacing between target and flankers. The closer the flankers are to the target, the stronger is crowding. Recently, it was proposed that crowding strength is determined by the distance between target and flanker c ...

2011

How grouping determines crowding

Michael Herzog, Bilge Sayim, Mauro Manassi

The spacing between target and flankers is one of the main factors of crowding. The closer the flankers are to the target, the stronger is crowding. Recently, it was proposed that crowding strength is determined by the distance between target and flanker c ...

2011

Channel State Feedback Over the MIMO-MAC

Krishna Kumar

In order to exploit the full multiplexing gain of multi-antenna multi-user downlink schemes, accurate channel state information at the transmitter (i.e., at the base station) is required. We consider the design of a closed-loop channel state information fe ...

2011

Progressive quantization in distributed average consensus

Pascal Frossard, Effrosyni Kokiopoulou

We consider the problem of distributed average consensus in a sensor network where sensors exchange quantized information with their neighbors. In particular, we exploit the increasing correlation between the exchanged values throughout the iterations of t ...

2011

Efficient Video Coding based on Audio-Visual Focus of Attention

Touradj Ebrahimi, Francesca De Simone, Jong Seok Lee

This paper proposes an efficient video coding method using audio-visual focus of attention, which is based on the observation that sound-emitting regions in an audio-visual sequence draw viewers' attention. First, an audio-visual source localization algori ...

Elsevier2011

Vector Network Coding Algorithms

Christina Fragouli, Javad Ebrahimi Boroojeni

We develop new algebraic algorithms for scalar and vector network coding. In vector network coding, the source multicasts information by transmitting vectors of length L, while intermediate nodes process and combine their incoming packets by multiplying th ...

2010

Approximation for Problems in Multi-User Information Theory

Soheil Mohajerzefreh

The main goal in network information theory is to identify fundamental limits of communication over networks, and design solutions which perform close to such limits. After several decades of effort, many important problems still do not have a characteriza ...

EPFL2010

An influence of current-leakage in analog memory on training Kohonen neural network implemented on silicon

Rafal Tomasz Dlugosz

The paper presents how the current leakage encountered in capacitive analog memories affects the learning process of hardware implemented Kohonen neural networks (KNN). MOS transistor leakage currents, which strongly depend on temperature, increase the net ...

2010

Realization of the Conscience Mechanism in CMOS Implementation of Winner-Takes-All Self-Organizing Neural Networks

Rafal Tomasz Dlugosz

This paper presents a complementary metal–oxide– semiconductor (CMOS) implementation of a conscience mechanism used to improve the effectiveness of learning in the winnertakes- all (WTA) artificial neural networks (ANNs) realized at the transistor level. T ...

Institute of Electrical and Electronics Engineers2010

Compressed network coding vectors

Christina Fragouli, Lorenzo Keller, Mahdi Jafari Siavoshani

In networks that employ network coding, two main approaches have been proposed in the literature to allow the receivers to recover the source information: (i) use of coding vectors, that keep track of the linear combinations the received packets contain, a ...

2009