"Convolve" Example Sentences
1. I need to convolve these two signals to obtain the output.
2. The convolution process will convolve the data to determine the results.
3. The algorithm will convolve the image to create a new output.
4. It's important to carefully convolve the data to avoid errors.
5. We can convolve different signals to obtain a combined output.
6. The software will convolve the image to create a smoother appearance.
7. You can convolve the sound signals to create a more complex effect.
8. He used a special technique to convolve the data and obtain accurate results.
9. The program can easily convolve the data and provide the required information.
10. We need to convolve the signal with a filter to remove the noise.
11. Can you convolve these two waves and tell me the result?
12. It's necessary to convolve the input data to obtain the correct output.
13. The function is designed to convolve two arrays of data and return the result.
14. We can convolve the data using different methods.
15. The convolved image appears much more refined and polished.
16. A well-known technique is to convolve the signal with a Gaussian kernel.
17. You should convolve the two signals together using a cross-correlation function.
18. We can convolve the data with a low-pass filter to smooth out the noise.
19. The images were convolved to make them more visually appealing.
20. The software can easily convolve the images and produce stunning results.
21. In order to obtain more accurate data, it's necessary to convolve the signal.
22. The algorithm can convolve two arrays of data quickly and efficiently.
23. You can use different types of kernels to convolve the data and obtain the desired effect.
24. The process of convolving the data can take some time, depending on the size of the input.
25. It's necessary to convolve the image with a filter to reduce the artifacts.
26. We used a special method to convolve the signals and obtain the desired output.
27. The convolved signal shows a clear improvement in quality.
28. The software has a built-in function to convolve the data and provide the necessary information.
29. It's important to understand how to convolve two signals to obtain the desired results.
30. The technique of convolving the data can be used in many different fields.
Common Phases
1.
Convolve the input signal with the filter kernel;
2. Apply a Gaussian filter to the image using convolution;
3. Use convolution to blur the edges of the image;
4.
Convolve the audio signal with a low-pass filter to remove high frequency noise;
5. Generate a convolution matrix to perform linear filtering on the input signal;
6. Apply a Sobel filter to the image using convolution to enhance the edges;
7. Use convolution to
convolve the input signal with a matched filter;
8.
Convolve the image with a kernel to perform image sharpening;
9. Apply a Gaussian blur to the image by convolving the image with a Gaussian kernel;
10. Use convolution to perform convolutional neural network operations on image data.