It can clearly be seen from Figure 1 that the AR technique exhibits superior resolution.It has distinguished the two sinusoids even though they are very closely spaced in frequency. The periodogram cannot resolve the signals because their spacing is 0.03 cycles/sample which would require a data record of at least N=1/0.03 34 points. In addition,note the smoothness of the AR spectrum which exhibits fewer random fluctuations due to noise and statistical estimation errors as well as an absence of sidelobes.Having justified the advantages of the AR model,we now describe it and its use.• It can clearly be seen from Figure 1 that the AR technique exhibits superior resolution. It has distinguished the two sinusoids even though they are very closely spaced in frequency. • The periodogram cannot resolve the signals because their spacing is 0.03 cycles/sample which would require a data record of at least N = 1/0.03 = 34 points. • In addition, note the smoothness of the AR spectrum which exhibits fewer random fluctuations due to noise and statistical estimation errors as well as an absence of sidelobes. Having justified the advantages of the AR model, we now describe it and its use