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IIR Median Hybrid Filter. Kristina Harrell. Purpose. Remove impulse and Gaussian noise while preserving signal edges. Utilize IIR, Low pass, and Standard Median (SM) filtering techniques. Median Filtering. LP IIR Filter. X(n). y 1 (n). x(n). Median.
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IIR Median Hybrid Filter Kristina Harrell
Purpose • Remove impulse and Gaussian noise while preserving signal edges. • Utilize IIR, Low pass, and Standard Median (SM) filtering techniques
Median Filtering LP IIR Filter X(n) y1(n) x(n) Median y(n)=median (y1(n), x(n)) for –L >n >L Links linear filtering and nonlinear filtering
Filtering in the time domain • Causality: • We want to implement such filtering on-line • At each point in time, we know the current sample and all past ones, but not future ones • When implementing filtering as we discussed, we use future points to modify the value of a past point • Thus the need to buffer
Utilization • LEDs • Represent which filtering technique is activated • Pushbuttons • PF8 • Low Pass IIR Filter • Standard Median Filter • IIR Median Hybrid Filter • PF9 • Switch between Low Pass Coefficients
References • H. Bauer,M. Sartori, and T. Bryden, “An IIR Median Hybrid Filter,” IEEE Transactions on Signal Processing, Vol 40, No 5, May 1992 • J. Astola, P. Heinonen, and Y. Neuvo, “Linear median hybrid filters,” IEEETrans. Circuits Syst., vol. 36, no. 11, pp. 1430-1438, Nov. 1989 • T. Nodes, and N. Gallagher, “The Output Distribution of Median Type Filters,” IEEETrans. Communications, vol. Com-32, no. 5, pp. 532-541 May1984