IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4 A 1.5V VLSI Circuit for the Co-Channel Signal Separation Como, Italy July 24-July 27 ISBN: 0-7695-0619-4
In analog implementations of adaptive algorithms, limited voltage ranges and inevitable dc, offset voltages that arise in the learning circuit seriously degrade the convergence performance. Using the circuit structures proposed in this paper, these problems are eliminated and the learning characteristic of the resulting network is improved. The test results are obtained from a structure with two channels using a stochastic gradient algorithm in order to minimize the cost function defined as the output signal cross-correlation. This algorithm allows the identification of the channels and the reconstruction of the signals so long as the signals are L2 integrable.
Index Terms:
channel deconvolution, signal separation, second-order statistic algorithm, analog VLSI circuit
Citation:
Tertulien Ndjountche, Rolf Unbehauen, Fa-Long Luo, "A 1.5V VLSI Circuit for the Co-Channel Signal Separation," ijcnn, vol. 4, pp.4202, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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