Combining a Genetic Algorithm and Simulated Annealing to Design a Fixed-Order Mixed <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:mrow></mml:math> Deconvolution Filter with Missing Observations : Table 3

]>Combining a Genetic Algorithm and Simulated Annealing to Design a Fixed-Order Mixed <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:mrow></mml:math> Deconvolution Filter with Missing Observations : Table 3

Table 3: Performance for various missing probability and the robustness property of deconvolution filters under various channel perturbations.


Deconvolution filter

	0.6297	0.8007	0.9099
	0.6908	0.8048	0.9327
	0.7123	0.783	0.8558
	0.8005	0.8603	0.9178
	0.7281	0.7878	0.8544
	0.8280	0.8735	0.9401
	23.9289	41.2552	55.2401
	0.6828	0.8128	0.9448
	1.3795	1.3798	1.4026
	0.8401	0.9142	0.9708