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ISCAS
1995
IEEE
116views Hardware» more  ISCAS 1995»
14 years 1 months ago
Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons
This paper proposes a multilevel logic approach to output coding using multilevel neurons in the output layer. Training convergence for a single multilevel perceptron is considere...
Aleksander Malinowski, Tomasz J. Cholewo, Jacek M....
CORR
2006
Springer
107views Education» more  CORR 2006»
13 years 10 months ago
Dense Gaussian Sensor Networks: Minimum Achievable Distortion and the Order Optimality of Separation
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements...
Nan Liu, Sennur Ulukus
TSP
2008
90views more  TSP 2008»
13 years 10 months ago
Minimizing Transmit Power for Coherent Communications in Wireless Sensor Networks With Finite-Rate Feedback
We minimize average transmit power with finite-rate feedback for coherent communications in a wireless sensor network (WSN), where sensors communicate with a fusion center using ad...
Antonio G. Marqués, Xin Wang, Georgios B. G...
ICASSP
2011
IEEE
13 years 2 months ago
Analyzing the performance of error-prone relay networks
In this paper, we provide a semi-analytical method for predicting the upper and lower bound of the end-to-end mutual information for a relay network with practical codes and diffe...
Sebastian Vorköper, Volker Kühn
IPSN
2005
Springer
14 years 3 months ago
Sensing capacity for discrete sensor network applications
We bound the number of sensors required to achieve a desired level of sensing accuracy in a discrete sensor network application (e.g. distributed detection). We model the state of...
Yaron Rachlin, Rohit Negi, Pradeep K. Khosla