Timeline for Energy of compressed signals
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Oct 30, 2018 at 16:33 | comment | added | Laurent Duval | Compare two approximations of functions remains an open question to me. Typically, I am still trying to find metrics for sparse functions. Without a knowledge on the operator, the question is difficult. Entropies could be useful | |
| Oct 25, 2018 at 22:10 | comment | added | Mohamed Aly | In genral, please, how can I compare two compression methods in terms of transferring most of the energy content of the original signal, and not neglecting significant signal information @ Laurent Duval | |
| Oct 25, 2018 at 18:18 | comment | added | Laurent Duval | It really depends on the signals and the matrix. Can you share them, or the program that generate them? | |
| Oct 25, 2018 at 17:59 | comment | added | Mohamed Aly | Thanks a lot for your reply. I have fould the following function to calculate the entropy, but still the entropy of the output higher than the entropy of the input. Can you please indicate the reason, and help me with the suitable matlab function? Entropy link | |
| Oct 25, 2018 at 17:33 | history | edited | Laurent Duval | CC BY-SA 4.0 |
added 9 characters in body
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| Oct 25, 2018 at 16:11 | history | answered | Laurent Duval | CC BY-SA 4.0 |