Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology
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In this paper, we present an experimental current-mode Kohonen neural network (KNN) implemented in a CMOS 0.18 μm process. The network contains four output neurons. Each neuron has three analog weights related to three inputs. The presented KNN has been re ...
In this paper we present analog current mode Euclidean distance calculation (EDC) block, which calculates the distance between two current vectors. The proposed circuit is an important part of the CMOS-implemented Kohonen’s neural network (KNN) designed fo ...
As embedded computing evolves towards ever more powerful architectures, the challenge of properly interconnecting large numbers of on-chip computation blocks is becoming prominent. Networks-on-Chip (NoCs) have been proposed as a scalable solution to both p ...
Integrated single photon avalanche detectors (SPADs) are gaining interest in applications demanding high timing resolution and high sensitivity. The recent progress of design and implementation of SPADs in CMOS technology are discussed in this paper. ...
Distributed adaptive algorithms are proposed to address the problem of estimation in distributed networks. We extend recent work by relying on static and adaptive diffusion strategies. The resulting adaptive networks are robust to node and link failures an ...
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