Re: Coherent averaging
- From: Scott Seidman <namdiesttocs@xxxxxxxxxxxxxx>
- Date: 30 Aug 2006 13:41:16 GMT
"vale" <smirtariata@xxxxxxxxx> wrote in news:1156866310.581560.148830
@p79g2000cwp.googlegroups.com:
Hi all,
we are dealing with N synchronous measures of a spatial signal
corrupted with a non-zero mean noise. Those measures are mutually
uncorrelated. Is it feasible to extract the signal using coherent
averaging?
In my field, we usually refer to this as "ensemble averaging". For zero-
mean noise, this improves your signal to noise ratio by sqrt(N), where N
is the number of epochs in your ensemble.
The derivation to demonstrate this sqrt(N) improvement depends upon
E(noise)=0. You specify that this doesn't exist. I suspect that things
will be much the same for your case if you subtract out the mean of the
noise.
We have a reasonable model of the signal pattern (but not of the signal
peak to peak). Can we use this model to improve the signal extraction?
We are now using the correlation within model and the measure as weight
in the averaging procedure.
I suspect that any model-based technique would also depend upon you
subtracting out the mean of the noise.
--
Scott
Reverse name to reply
.
- References:
- Coherent averaging
- From: vale
- Coherent averaging
- Prev by Date: Re: Coherent averaging
- Next by Date: Re: How to write a HighPass procedure?
- Previous by thread: Re: Coherent averaging
- Next by thread: jointly gaussian
- Index(es):
Relevant Pages
|
