Deconvolutions example sentences

"Deconvolutions" Example Sentences

1. Deconvolutions were used to identify the components of the signal.
2. The deconvolutions were performed using a Fourier transform method.
3. The deconvolutions revealed a complex mixture of signals.
4. He spent hours analyzing the deconvolutions of the spectral data.
5. The team used sophisticated software to perform the deconvolutions.
6. The precise deconvolutions were critical to the success of the project.
7. We employed iterative deconvolutions to refine the analysis.
8. The deconvolutions helped to identify previously unknown spectral lines.
9. The quality of the deconvolutions was impressive.
10. We needed to perform careful deconvolutions of the data to avoid errors.
11. The deconvolutions revealed patterns that were not immediately apparent.
12. The team used a variety of methods for the deconvolutions.
13. The deconvolutions showed that the signal was more complex than expected.
14. We had to redo the deconvolutions several times to get accurate results.
15. The deconvolutions were a challenging task but ultimately rewarding.
16. She spent weeks analyzing the deconvolutions of the data.
17. The team was impressed with the accuracy of the deconvolutions.
18. The deconvolutions helped to distinguish between different types of signals.
19. Careful deconvolutions were necessary to separate overlapping signals.
20. The deconvolutions showed that there was significant noise in the data.
21. We used deconvolutions to filter out unwanted signals from the data.
22. The team used advanced algorithms to perform the deconvolutions.
23. Accurate deconvolutions were critical for the success of the project.
24. The deconvolutions showed that there were unexpected components in the signal.
25. We needed to perform deconvolutions on the data before we could interpret it.
26. The deconvolutions revealed a small but significant signal that had been missed.
27. The team was able to perform the deconvolutions quickly and efficiently.
28. We used deconvolutions to identify the source of a signal in the data.
29. The quality of the deconvolutions was essential for the validity of the analysis.
30. The deconvolutions helped to clarify some of the ambiguities in the data.
31. The team spent weeks developing the algorithms for the deconvolutions.
32. The deconvolutions allowed us to identify unexpected features in the data.
33. Careful deconvolutions were necessary to correct for instrumental effects.
34. The deconvolutions provided a more detailed picture of the signal than was previously possible.
35. The team used a combination of techniques to perform the deconvolutions.
36. The deconvolutions were a critical part of the data analysis.
37. The deconvolutions revealed that there were multiple sources of the signal.
38. We performed deconvolutions to remove the effects of background noise.
39. The team was able to perform the deconvolutions in real-time.
40. The quality of the deconvolutions was paramount for the accuracy of the analysis.

Common Phrases

1. Deconvolutions are often used to remove blur from images;
2. Image restoration can benefit from the use of deconvolutions;
3. Frequency domain techniques can be used to improve the performance of deconvolutions;
4. Deconvolutions can be a useful tool in signal processing;
5. Iterative deconvolution algorithms can improve the accuracy of results;
6. Multiple deconvolutions may be needed to fully restore an image;
7. Deconvolutions require careful identification of the point spread function;
8. Deconvolutions can be performed using a variety of different methods;
9. Regularization can help prevent overfitting in deconvolutions;
10. Deconvolutions can be used to separate overlapping signals.