Time domain Signal decomposition
Time domain Signal decomposition
(OP)
I am trying to Identify different noise components in a signal which is in the time domain. There are atleast two different processes which contribute to the noise in my target signal. My problem is to identify one from the other and the severity of each one. One of the types of noise is a "brown" or "pink" type noise which has a negative "linearish" behaviour in the frequency domain. The other form of noise has a "step and Discharge" type response in the time domain. The problem is that the latter type of noise is a totally random occurence. Also the relative magnitude of the first type of noise is also unknown. If anybody has any ideas on how to identify and seperate these two noise processes by looking at the combined output, it will be greatly appreciated.





RE: Time domain Signal decomposition
RE: Time domain Signal decomposition
informative if there are multiple fundamentals with their harmonics.
<nbucska@pcperipherals.com>
RE: Time domain Signal decomposition
RE: Time domain Signal decomposition
<nbucska@pcperipherals.com>
RE: Time domain Signal decomposition
FFT will make mince meat of your data.
The spectral energy density is useful where you are trying to quantify the processes involved and the sources are not correlated.