**Ns2 simulation in punjab:**

**Ns2 simulation in punjab **The goal of this approach is to re-express the original data along anew coordinate system such that the clutter and signal of interestare separated along ns2 simulation in punjabdifferent bases. Filtering is then achieved byrejecting the bases describing clutter and retaining the bases describingthe signal of interest.

These methods can be classifiedbased on the means by which the new bases are determined: *apriori *or adaptive. ns2 simulation in punjabPerhaps the most common example of the *apriori *approach is the discrete Fourier transform wherebythe bases are defined independent of the data as complex

exponentials.DFT-based filteringhave beenwidely used for clutter rejection especially in application towall filtering in blood flow imaging While widely used, DFT-based ns2 simulation in punjabmethods under perform whenthe frequency characteristics of the clutter and signal of interest overlap.

Moreover, the clutter artifact and tissue signal characteristicsoften change dramatically through space and ns2 simulation in punjabtime dueto changes in physiology and varied tissue structures. Thus, anadaptive framework for determining basis functions has beenproposed

with principal component analysis also calledthe discrete Karhunen–Loeve Transform being the mostprevalent ns2 simulation in punjabtechnique In this method, the basisfunctions are determined adaptively from the covariance propertiesof the data.

In addition to applications for clutter rejectionin blood flow estimation -based techniques havebeen ns2 simulation in punjabproposed for many additional applications in medical ultrasoundincluding displacement estimation displacementprofile filtering beamforming tissue characterizationand classification of tissue response to acousticradiation force.