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chengxu
- 认知无线电中频谱感知技术的AM信号能量检测技术和周期平稳检测技术-Spectrum sensing in cognitive radio technologies AM signal energy detection and cyclostationary detection
Spectrum-Sensing-Using-Cyclostationary-Properties
- Spectrum Sensing Using Cyclostationary Properties and Application to IEEE 802.22 WRAN
[4]-Spectrum-Sensing-Using-Cyclostationary-Proper
- its about specrtum sensing in sdr
T01S30P04
- Performance of Cyclostationary Features Based Spectrum Sensing Method in A Multiple Antenna Cognitive Radio System
sensing
- 频谱感知算法，包含了最基本的感知算法，能量检测、循环平稳检测-Spectrum sensing algorithm contains the most basic perception algorithms, energy detection, cyclostationary detection
cyclostationary-spectrum-sensing
- 认知无线电中，采用循环特征检测的频谱检测算法matlab仿真程序-Using cyclic feature detection spectrum detection algorithm
Cyclothings
- This code implements an energy efficient collaborative cyclostationary spectrum sensing approach for cognitive radio systems. An existing statistical hypothesis test for the presence of cyclostationarity is extended to multiple cyclic frequencies and
Attachments_201429
- research papers of spectrum sensing in cognitive based on cyclostationary detction
single-detection
- 认知无线电频谱感知中的单用户频谱感知的主要三种方法：能量检测，循环平稳特征检测，匹配滤波器检测 的matlab实现的源代码-cognitive radio spectrum sensing：Energy detection, cyclostationary feature detection, matched filter detection 。matlab the source code
cyclostationary
- cyclostationary spectrum sensing of AWGB
1.-transmitter
- Studies show that there are Three types of transmitter detection techniques in spectrum sensing in a cognitive radio system these include: matched filter, energy detection and cyclostationary featured detection technique.... this matlab code is for t
new-2
- matlab code for cyclostationary based spectrum sensing
zhouqipingwen
- 认知无线电频谱感知，窄带周期平稳检测算法，检测有信号的频率-Cognitive radio spectrum sensing, narrowband cyclostationary detection algorithm to detect the signal frequency
CYCLOCYCLO
- Implemented Cyclostationary detector for spectrum sensing in AWGN channel in Matlab
cyclo
- cyclostationary spectrum sensing
OFDM信号频谱感10
- 前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然