when detection (sense) of a data signal ( ,and how detecting of the exist signal) , how know this signals are for information or noise signals?
hi,
1- some noises are repetitive.
2- you can validate with other similar works.
3- simulation would help a lot.
4- make sure your setup is adequate enough.
5- use filters.
6- use transformation such as Hilbert, wavelet, Fourier transforms.
goodluck
If the amplitude of the fft spectrum has nearly the same value over the hole frequency range than this would be a sign for only noise.
The question is what kind of signal you are interested in?
Vibration or noise?
The information entering detection operations generally entails four, largely independent sources of information:
The novice focuses on (1); the academic on (1) and (2); and the engineer with a genuinely risky real-world detection problem to solve focuses on all (1) to (4).
All of these sources of information are fused in the detector’s performance (probabilities of detection PD(s) and false alarm PFA(s)), and in the detector’s sensitivity setting (s, reducing false alarm rates when they are intolerably high).
The route to the information fusion is made explicit when adjusting the sensitivity setting s to minimize the expected costs C of operations:
C = (1-PD(s)) * p * C_miss + (1-p) * PFA(s) * C_false
C = expected cost of operations
C_miss = cost of missing a target
C_false = cost of prosecuting a false alarm
p = the prior probability of facing a target
PD = probability of detection given that 1 target is present in signal
PFA = probability of falsely registering a detection given that no target is present in the signal.
s = sensitivity setting of the detector
I think this cost minimization is attributed to Neyman-Pearson.
- Badges
- Science topic