Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with denoising
Search options not deleted
user 8540
Denoising is a collection of techniques to remove unwanted noise from a signal. Typically this is done by filtering, but a variety of other techniques is available. Often combinations are used in sequence to optimize the denoising.
0
votes
Accepted
Separate Signal Values from Noise
You question is pretty broad and you didn't even mentioned that you're using SSA (at the moment).
You're asking for interpretaion of SSA decomposition. This topic is rather complex and pretty difficu …
- 224
3
votes
Using MATLAB `xcorr()` to Find a Signal Hidden Behind Noise
Your method actually does work even with -30 [dB] SNR if you feed it 100k data points (I've checked).
Also I don't see the point of using the first instead of the second:
% Your way
Q1(i) = max(abs(x …
- 224