Subband Adaptive Filtering with <svg     style="vertical-align:-4.32pt;width:14.625px;" id="M1" height="21.4625" version="1.1" viewBox="0 0 14.625 21.4625" width="14.625"  xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg">
	
		
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			<g transform="matrix(.016,-0,0,-.016,6.088,21.4)"><path id="x1D7CF" d="M441 24v-24h-373v24q75 2 96 20q22 19 22 85v378q0 70 -36 70q-26 0 -65 -16l-20 -8v26l251 109h18v-570q0 -57 19 -75q19 -17 88 -19z" /></g>

		
	
</svg>-Norm Constraint for Sparse System Identification

<table>Normalized MSD curves of the <svg height="16.3125" id="M184" style="vertical-align:-3.276pt" version="1.1" viewbox="0 0 11.0375 16.3125" width="11.0375" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg>-RNSAF for various <svg height="12.175" id="M185" style="vertical-align:-3.56265pt" version="1.1" viewbox="0 0 8.6374998 12.175" width="8.6374998" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> values (<svg height="11.3125" id="M186" style="vertical-align:-0.1092pt" version="1.1" viewbox="0 0 42.5625 11.3125" width="42.5625" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.113)"><path d="M857 650l-6 -28q-44 -4 -61.5 -16.5t-29.5 -48.5q-11 -32 -37 -166l-78 -399h-29l-351 537h-4l-56 -276q-24 -120 -24 -164q0 -35 17.5 -46t75.5 -15l-6 -28h-245l7 28q41 2 62 14t31 44q10 30 41 171l53 245q8 44 6.5 60.5t-14.5 33.5q-10 15 -27 19.5t-64 6.5l6 28h153
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</svg>).</table>

Mathematical Problems in Engineering

fig3

Figure 3

Figure 3: Subband Adaptive Filtering with <svg     style="vertical-align:-4.32pt;width:14.625px;" id="M1" height="21.4625" version="1.1" viewBox="0 0 14.625 21.4625" width="14.625"  xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg">
	
		
			<g transform="matrix(.022,-0,0,-.022,.062,16.025)"><path id="x1D459" d="M238 681l-124 -585q-7 -31 4 -31q10 0 37.5 18.5t49.5 41.5l16 -22q-40 -48 -89.5 -81.5t-76.5 -33.5q-42 0 -16 122l105 488q7 32 0 41t-39 9h-35l5 26q35 3 71 13t58 17.5t26 7.5q14 0 8 -31z" /></g>

			<g transform="matrix(.016,-0,0,-.016,6.088,21.4)"><path id="x1D7CF" d="M441 24v-24h-373v24q75 2 96 20q22 19 22 85v378q0 70 -36 70q-26 0 -65 -16l-20 -8v26l251 109h18v-570q0 -57 19 -75q19 -17 88 -19z" /></g>

		
	
</svg>-Norm Constraint for Sparse System Identification 

Mathematical Problems in Engineering

Subband Adaptive Filtering with -Norm Constraint for Sparse System Identification

Figure 3