1. 1 Rising Noise Level Simulation Henry Skiba

2. 2 Sinusoid Signal to noise level –SNRdB = 10log 10 SNR Tested range was -60dB to 90db with stepping of 1 dB Generating Signal with Noise f0f0 f f0f0 f tt + t Signal +Noise SinusoidNoise FFT f0f0 f

3. 3 Signal Distortion Wobble algorithm was used –Standard deviation of velocity was varied Three different values ranging from.01 to.10

4. 4 Signal Recovery DeWobble algorithm used –Recovery bandwidth estimated with varying standard deviation of velocity –Example at right is standard deviation of velocity of.1 with -30 SNRdB Average relative error was.0279 Max relative error was.0585

5. 5 Results What was used to evaluate effectiveness of deWobble algorithm? –Max and average relative error of recovered wobble versus actual wobble

6. 6 Results

7. 7 Conclusions Recovery algorithm begins to work at a SNRdB of 0 with linear improvement up to 60 dB No further improvement after 60 dB due to interpolation error Least aggressive wobble has worst performance