id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
american_scientific_journal-6611	Ata, Nuria ; Chaewoo , Lee 	Matlab Implementation of Simple Counting Based Weighted Cooperative Spectrum Sensing and Initial Condition Rule	2021	15	.pdf	application/pdf	3479	200	52	The adaptive weight estimation algorithm is able to predict local sensing reliability based on observation of local sensing decisions of each SU. Weighted cooperative sensing vs Equal gain SNR and threshold Total error probability for WCSS Total error probability for equal gain CSS SNR in dB=[20, -15, -10,-12] Thres=[40, 1700, 595, 930] 0.1326 0.2056 SNR set to -5dB for all SUs Threshold set to 210 0.0334 0.0408 American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) (2021) Volume 76, No 1, pp 56-70 63 Figure 5: weight estimation error for bi, identical SNR Figure 6: weight estimation error ci, identical SNR Figure 7: bi estimation error for different SNR American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) (2021)	cache/american_scientific_journal-6611.pdf	txt/american_scientific_journal-6611.txt