1205 search results - page 21 / 241 » Quantization for distributed estimation using neural network... |
ICIAR
2010
Springer
15 years 1 months ago
2010
Springer
Accurate and precise estimation of the noise variance is often of key importance as an input parameter for posterior image processing tasks. In MR images, background data is well s...
AES
2008
Springer
14 years 9 months ago
2008
Springer
Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
ICANN
2007
Springer
14 years 11 months ago
2007
Springer
Abstract. A procedure to estimate the parameters of GARCH processes with non-parametric innovations is proposed. We also design an improved technique to estimate the density of hea...
WCNC
2010
IEEE
14 years 8 months ago
2010
IEEE
—An important transmitter adaptation technique used in multiple-input multiple-output (MIMO) communication systems is precoding based on the dominant right-singular vectors of th...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....