when SNR is high , 1st sample estimator provides good estimate of A. it has no ise effect . so we don’t need averaging effect to reduce noise when SNR is high.

However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator.



So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.-when　SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high.

However variance is still low in sample mean estimator which shows that in reality　,sample mean is good estimator than 1st sample estimator.



So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.