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118
Voted
ISCAS
1995
IEEE
116views Hardware» more  ISCAS 1995»
15 years 5 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»
15 years 2 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»
15 years 2 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
14 years 6 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
94
Voted
IPSN
2005
Springer
15 years 7 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