▁easier ▁to ▁detect ▁the ▁signal ' s ▁presence ▁or ▁measure ▁certain ▁characteristics , ▁such ▁as ▁amplitude ▁and ▁frequency . ▁ ▁Effect ively , ▁the ▁signal ▁to ▁noise ▁ratio ▁( S NR ) ▁is ▁improved ▁by ▁distrib uting ▁the ▁noise ▁uniformly , ▁while ▁concentr ating ▁most ▁of ▁the ▁sin us oid ' s ▁energy ▁around ▁one ▁frequency . ▁ ▁Process ing ▁gain ▁is ▁a ▁term ▁often ▁used ▁to ▁describe ▁an ▁S NR ▁improvement . ▁ ▁The ▁processing ▁gain ▁of ▁spectral ▁analysis ▁depends ▁on ▁the ▁window ▁function , ▁both ▁its ▁noise ▁band width ▁( B ) ▁and ▁its ▁potential ▁scal lop ing ▁loss . ▁ ▁These ▁effects ▁partially ▁offset , ▁because ▁windows ▁with ▁the ▁least ▁scal lop ing ▁naturally ▁have ▁the ▁most ▁leak age . ▁ ▁Figure ▁ 3 ▁dep ict s ▁the ▁effects ▁of ▁three ▁different ▁window ▁functions ▁on ▁the ▁same ▁data ▁set , ▁compr ising ▁two ▁equal ▁strength ▁sin us oid s ▁in ▁add itive ▁noise . ▁ ▁The ▁frequencies ▁of ▁the ▁sin us oid s ▁are ▁chosen ▁such ▁that ▁one ▁enc oun ters ▁no ▁scal lop ing ▁and ▁the ▁other ▁enc oun ters ▁maximum ▁scal lop ing . ▁ ▁Both ▁sin us oid s ▁suffer ▁less ▁S NR ▁loss ▁under ▁the ▁Hann ▁window ▁than ▁under ▁the ▁Black man – H arr is ▁window . ▁ ▁In ▁general ▁( as ▁mentioned ▁earlier ), ▁this ▁is ▁a ▁d eter rent ▁to ▁using ▁high - dynamic - range ▁windows ▁in ▁low - dynamic - range ▁applications . ▁ ▁Filter ▁design ▁▁ ▁Windows ▁are ▁sometimes ▁used