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» A Neural Network Based Head Tracking System
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IWANN
2001
Springer
15 years 9 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno
151
Voted
DSD
2004
IEEE
122views Hardware» more  DSD 2004»
15 years 8 months ago
On the Packet-Switched Implementation of a Discrete-Time CNN
Cellular Neural Networks are widely used with real-time image processing's applications. Such systems can be efficiently realized using macro enriched fieldprogrammable gate-...
Suleyman Malki, Lambert Spaanenburg
143
Voted
IWANN
2001
Springer
15 years 9 months ago
Pattern Repulsion Revisited
Marques and Almeida [9] recently proposed a nonlinear data seperation technique based on the maximum entropy principle of Bell and Sejnowsky. The idea behind is a pattern repulsion...
Fabian J. Theis, Christoph Bauer, Carlos Garc&iacu...
MDM
2009
Springer
133views Communications» more  MDM 2009»
15 years 11 months ago
YushanNet: A Delay-Tolerant Wireless Sensor Network for Hiker Tracking in Yushan National Park
The objective of YushanNet is to provide a reliable and robust system for hiker tracking in Yushan National Park, Taiwan. The aggregated information can help national parks to pro...
Yu-Te Huang, Yi-Chao Chen, Jyh-How Huang, Ling-Jyh...

Publication
209views
15 years 2 months ago
Adaptive beamforming method based on constrained LMS algorithm for tracking mobile user
In this paper, Constrained Least Mean Square (CLMS) algorithm for narrowband adaptive beamforming for tracking mobile user in a 2D urban environment has been used. This algorithm i...
Peyman Rahmati