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10篇 您的检索式：作者名="Pyari Mohan Pradhan"

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		题名	作者	年代	出处	被引量
	1	IIR system identification using cat swarm optimization 显示文摘	Panda Ganapati Pradhan Pyari Mohan Majhi Babita	2011	Expert Systems with Applications2011，38，12：	1
	2	IIR system identification using cat swarm optimization 显示文摘	Ganapati Panda Pyari Mohan Pradhan Babita Majhi	2011	Ex- pert Systems with Applications2011，38，12：	1
	3	Solving muhiobjec- tire problems using eat swarm optirnization显示文摘	Pyari Mohan Pradhan Ganapati Panda	2012	Expert Sys- tems with Applications2012，39，3：	1
	4	IIR System identification using cat swarm optimization 显示文摘	Panda Ganapati Pradhan Pyari Mohan Majhi Babita	2011	Experiment Sys- tems with Applications2011，38，12：	1
	5	Solving multi - objec- tive problems using cat swarm optimization 显示文摘	Pradhan Pyari Mohan Panda Ganapati	2012	Experiment Systems with Applications2012，39，3：	1
	6	Solving mul- tiobjective problems using cat swarm optimization 显示文摘	Pradhan Pyari Mohan Panda Ganapati	2012	Expert Systems with Applications2012，39，3：	1
	7	IIR system identification using cat swarm optimization显示文摘	Ganapati Panda Pyari Mohan Pradhan Babita Majhi	2011	Expert Systems with Applications2011，38，12：	1
	8	IIR system identification using cat swarm optimization显示文摘	Ganapati Panda Pyari Mohan Pradhan Babita Majhi	2011	Expert Systems With Applications2011，，10：	1
	9	Solving multi-ob- jective problems using cat swarm optimization 显示文摘	Pyari Mohan Pradhan Ganapati Panda	2012	Ex- pert'' Systems with Applications2012，39，3：	1
	10	S-transformation based integrated approach for spectrum estimation, storage, and sensing in cognitive radio显示文摘Cognitive Radio (CR) uses the principle of dynamic spectrum allocation to improve the utilization of spectrum bands. The estimation of missing data is essential for maintaining an uninterrupted quality of service in the CR. However, the existing methods are not suitable for interpolating missing data in high frequency signals. The storage of spectrum occupancy information is crucial for learning the spectrum usage and prediction. The existing techniques for wideband spectrum sensing suffer from poor edge detection capabilities. This paper proposes an STransformation (ST) based approach to solve these problems. For missing samples, the proposed method improves the accuracy of estimation. The ST can also be used to store the spectrum occupancy information. The simulation results show that the proposed scheme outperforms others by improving the accuracy of edge detection. Further, the simple implementation of the ST in the frequency domain is an advantage for the real time application.	Pyari Mohan Pradhan Ganapati Panda	2019	Digital Communications and Networks2019，5，3：	0

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