▁Many ▁applications ▁and ▁problems ▁which ▁are ▁sol v able ▁using ▁array ▁processing ▁techniques ▁are ▁introduced . ▁In ▁addition ▁to ▁these ▁applications ▁within ▁the ▁next ▁few ▁years ▁the ▁number ▁of ▁applications ▁that ▁include ▁a ▁form ▁of ▁array ▁signal ▁processing ▁will ▁increase . ▁It ▁is ▁highly ▁expected ▁that ▁the ▁importance ▁of ▁array ▁processing ▁will ▁grow ▁as ▁the ▁autom ation ▁becomes ▁more ▁common ▁in ▁industrial ▁environment ▁and ▁applications , ▁further ▁adv ances ▁in ▁digital ▁signal ▁processing ▁and ▁digital ▁signal ▁processing ▁systems ▁will ▁also ▁support ▁the ▁high ▁computation ▁requirements ▁demanded ▁by ▁some ▁of ▁the ▁estimation ▁techniques . ▁ ▁In ▁this ▁article ▁we ▁emphas ized ▁the ▁importance ▁of ▁array ▁processing ▁by ▁listing ▁the ▁most ▁important ▁applications ▁that ▁include ▁a ▁form ▁of ▁array ▁processing ▁techniques . ▁We ▁briefly ▁describe ▁the ▁different ▁class ifications ▁of ▁array ▁processing , ▁spectral ▁and ▁paramet ric ▁based ▁approaches . ▁Some ▁of ▁the ▁most ▁important ▁algorithms ▁are ▁covered , ▁the ▁advantage ( s ) ▁and ▁the ▁dis adv antage ( s ) ▁of ▁these ▁algorithms ▁also ▁explained ▁and ▁discussed . ▁ ▁See ▁also ▁ ▁Ph ased ▁array ▁Space - time ▁adapt ive ▁processing ▁Period ogram ▁Match ed ▁filter ▁Wel ch ' s ▁method ▁Bart lett ' s ▁method ▁S AM V ▁ ▁References ▁ ▁S ources ▁▁▁▁▁▁▁ ▁S . ▁Hay kin ▁and ▁K . J . R . ▁Li u ▁( Edit ors ), ▁" Hand book ▁on ▁Array ▁Process ing ▁and ▁S ensor ▁Network s ", ▁Ada pt ive ▁and ▁Learning ▁Systems ▁for ▁Sign al ▁Process ing , ▁Communic ations , ▁and ▁Control ▁Series