Anomaly Detection in Cognitive Radio Networks Exploiting Singular Spectrum Analysis

2017 ◽  
pp. 247-259 ◽  
Author(s):  
Qi Dong ◽  
Zekun Yang ◽  
Yu Chen ◽  
Xiaohua Li ◽  
Kai Zeng
Keyword(s):  
Cognitive Radio ◽  
Anomaly Detection ◽  
Cognitive Radio Networks ◽  
Spectrum Analysis ◽  
Singular Spectrum Analysis ◽  
Radio Networks ◽  
Singular Spectrum

SU-G-JeP4-03: Anomaly Detection of Respiratory Motion by Use of Singular Spectrum Analysis

2016 ◽  
Vol 43 (6Part28) ◽  
pp. 3681-3682
Author(s):  
J Kotoku ◽  
S Kumagai ◽  
S Nakabayashi ◽  
A Haga ◽  
T Kobayashi
Keyword(s):  
Anomaly Detection ◽  
Spectrum Analysis ◽  
Respiratory Motion ◽  
Singular Spectrum Analysis ◽  
Singular Spectrum

scholarly journals Automatic Anomaly Detection of Respiratory Motion Based on Singular Spectrum Analysis

2016 ◽  
Vol 05 (01) ◽  
pp. 88-95 ◽  
Author(s):  
Jun’ichi Kotoku ◽  
Shinobu Kumagai ◽  
Ryouhei Uemura ◽  
Susumu Nakabayashi ◽  
Takenori Kobayashi
Keyword(s):  
Anomaly Detection ◽  
Spectrum Analysis ◽  
Respiratory Motion ◽  
Singular Spectrum Analysis ◽  
Singular Spectrum

Exact Optimum RAN Selection Algorithm for Heterogeneous-Type Cognitive Radio Networks

2014 ◽  
Vol 1 ◽  
pp. 652-655
Author(s):  
Takumi.Matsui Takumi.Matsui ◽  
Mikio.Hasegawa Mikio.Hasegawa ◽  
Hiroshi.Hirai Hiroshi.Hirai ◽  
Kiyohito.Nagano Kiyohito.Nagano ◽  
Kazuyuki.Aihara Kazuyuki.Aihara
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Selection Algorithm
Sign in / Sign up

Export Citation Format

Share Document