1. Sallen and Key Filter 14.4

2. Unity Gain Sallen and Key Filter

3. SK Filter with Gain more than 1

4. R1=R2, C1=C2

5. Sensitivity of ω n

6. Sensitivity of Q

7. R2/R1=1, C2/C1=1, K=1 Q 10.51.51 2 3.52 54.59.55 109.519.510 Q↑→Increased sensitivity to component variations

8. Q=2, C2/C1=1, R2/R1=1 K 11.53.52 21.53.54 41.53.58 K↑→Increased sensitivity of Q to K increases

9. Q=2, C2/C1=1, K=2 R2/R1 0.50.91423.74265.6569 11.53.54 1.51.953.583.262 2.02.323.842.8284

10. Q=2, R2/R1=1, K=2 C2/C1 0.50.81422.325.6569 11.53.54 1.51.94954.393.26 2.02.32845.15692.8284

11. Summary SK filter shows more sensitivity to component variation as Q increases Low R2/R1 & C2/C1 leads to less sensitivy due to R1, R2, C1 and C2, but more sensitivity to K.