1 / 21

ASP project presentation

ASP project presentation. Student ID: _________. Time domain representation of the normalised recorded signals – STEP 1,3 (representative interval from 0.5 to 1.3 seconds). Stop.wav. Stopsat.wav. Tone.wav. Noise.wav. overall. representative.

amaryllis
Download Presentation

ASP project presentation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. ASP project presentation Student ID: _________

  2. Time domain representation of the normalisedrecorded signals – STEP 1,3(representative interval from 0.5 to 1.3 seconds) Stop.wav Stopsat.wav Tone.wav Noise.wav overall representative

  3. Normalise mixnoise and its components - STEP 2,3 mixnoise= 6*noise + 10*tone + 7*whinoise Mixnoise.wav Noise.wav Tone.wav Whinoise.wav overall representative

  4. Overview graphs of signal+noise mixes (whole signals, normalised) – STEP 3 Inputs SPN1 SPN2 SPN3 stop+mixnoise*5 stop+mixnoise stop+mixnoise/4 stop mixnoise

  5. Detailed graphs of signal+noise mixes (representative intervals only, normalised) – STEP 3 Inputs SPN1 SPN2 SPN3 stop+mixnoise*5 stop+mixnoise stop+mixnoise/4 stop mixnoise

  6. Probability density functions - STEP 4 Mixnoise.wav Noise.wav Tone.wav Whinoise.wav overall representative

  7. Probability density functions - STEP 4 Mixnoise.wav Stop.wav SPN2.wav SPN1.wav overall representative

  8. Correlation analysis - STEP 5 (signals BEFORE and AFTER processingby the matched filter) Stop.wav Mixnoise.wav SPN2.wav SPN1.wav before after

  9. Spectral analysis – FFT - STEP 6 Stop.wav Mixnoise.wav SPN2.wav Tone.wav magnitude phase

  10. Spectral analysis – Specgram - STEP 6 Stop.wav Mixnoise.wav SPN2.wav Tone.wav overall representative

  11. Spectral analysis – PSD - STEP 6 Stop.wav Mixnoise.wav SPN2.wav Tone.wav overall representative

  12. Spectral analysis – PSD – STEP 6 for complete records SPN1 SPN2 SPN3 stop+mixnoise*5 stop+mixnoise stop+mixnoise/4 stop mixnoise

  13. Spectral analysis – parametric - STEP 6pburg order 10 was used Stop.wav Mixnoise.wav SPN2.wav Tone.wav overall representative

  14. IIR filtering - STEP 7butter order 10 was used records BEFORE and AFTER filtering Frequency response Stop.wav Mixnoise.wav magnitude before phase after

  15. IIR filtering - STEP 7butter order 10 was used records BEFORE and AFTER filtering SPN1.wav SPN2.wav SPN3.wav before after

  16. Wiener filtering - STEP 8order 50 was used records BEFORE and AFTER filtering Frequency response Stop.wav Mixnoise.wav magnitude before phase after

  17. Wiener filtering - STEP 8order 50 was used records BEFORE and AFTER filtering SPN1.wav SPN2.wav SPN3.wav before after

  18. Adaptive filtering - STEP 9order 30 was used records BEFORE and AFTER filtering SPN1.wav SPN2.wav SPN3.wav before after

  19. SNR values in dB – STEPS 3,7,8 (upper values for ABS, lower values for STD)

  20. Block diagram of the system – STEP 11

  21. Last slide

More Related