Research Article

Best Lag Window for Spectrum Estimation of Law Order MA Process

Table 13

MSE values of MA(2) spectrum estimation with size (n = 10000).

WindowsDifferent values of parameters
 = 1 = −1 = 0.5 = −0.5 = 0.5 = 0.5 = 1 = −1.5
 = −1 = 1 = 0.5 = −0.5 = −0.5 = 1 = −0.5 = 1

Rectangular6.3215650246.3215650246.3601382646.3160641396.3270683046.3619780116.3325739786.317034709
Triangular6.3178550796.3180480156.3297281196.316055156.3192694446.3317340766.3213908916.31638888
Hanning6.3243336316.3242106336.3831949476.3160654016.332746726.385834316.3409554166.317515983
Hamming6.3190189976.3191320646.3389990086.3160629786.3218487526.340112876.3248727286.316591972
Blackman6.3146022016.3146063836.3025539346.3160608336.312622636.3041537376.3111011556.315776292
Blackman–Harris6.3235909776.3234536256.3769958856.3160650416.3311879916.3797399846.3386307586.317378991
Flat top6.322832386.3227185926.3704766926.316064686.3295785746.3733695576.336254616.317242264
Exponential6.3245422446.3243014086.384647176.3160688756.3335655176.3852924346.3415097986.317542611
Gaussian6.3183693286.318512716.3337053226.3160617526.3203893886.3352752746.3228935016.316477891
Welch(Riesz)6.3178077186.3181105396.3292888816.3160588356.3189379096.3323727036.3212957636.316390903
Cosine6.3215650246.3215650246.3601382646.3160641396.3270683046.3619780116.3325739786.317034709
Parzen6.3262034966.3256114676.397816786.3160839226.3385118576.3917173096.3462568546.317781749
Bohman6.3177461786.3178837466.3286627696.3160607136.3190161366.330407126.3209910316.31636812
Poisson6.3181348326.3182289456.3321747286.3160508456.3200012976.333555146.3222142696.316430102
Hanning–Poisson6.3175541276.3176351626.3274088156.3160506746.3188252026.3285554086.3204365696.316326227
Cauchy6.3208764476.3209293316.3544537356.3160633336.3255950816.3564338896.330501516.316916254
Bartlett–Hanning6.3235554626.3234747526.3767249986.3160648316.3311225396.3792950976.3386007356.31738112
Min-MSEBlackmanBlackmanBlackmanHanning–PoissonBlackmanBlackmanBlackmanBlackman