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» On the Network Complexity of Selection
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ICONIP
2010
13 years 7 months ago
Practical Surface EMG Pattern Classification by Using a Selective Desensitization Neural Network
Real-time pattern classification of electromyogram (EMG) signals is significant and useful for developing prosthetic limbs. However, the existing approaches are not practical enoug...
Hiroshi Kawata, Fumihide Tanaka, Atsuo Suemitsu, M...
ICAS
2005
IEEE
95views Robotics» more  ICAS 2005»
14 years 2 months ago
Improving APS with Anchor Selection in Anisotropic Sensor Networks
Sensor networks are useful for environmental monitoring, military applications, disaster management, etc. In many applications, sensors are supposed to know their geographic locat...
King-Yip Cheng, Vincent Tam, King-Shan Lui
JSAC
2006
85views more  JSAC 2006»
13 years 9 months ago
Transmit selection diversity with maximal-ratio combining for multicarrier DS-CDMA wireless networks over Nakagami-m fading chan
Abstract--We propose the scheme to integrate transmit selection diversity/maximal-ratio combining (TSD/MRC) with multicarrier (MC) direct-sequence code-division multiple access (DS...
Jia Tang, Xi Zhang
DCOSS
2011
Springer
12 years 8 months ago
On sensor selection in linked information networks
—Sensor networks are often redundant by design; this is often done in order to achieve reliability in information processing. In many cases, the redundancy relationships between ...
Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun
INFOCOM
2006
IEEE
14 years 3 months ago
ISP and Egress Path Selection for Multihomed Networks
— Multihoming has been used by stub networks for several years as a form of redundancy, improving the availability of Internet access. More recently, Intelligent Route Control (I...
Amogh Dhamdhere, Constantinos Dovrolis