| Topic: |
Science > Physics |
| User: |
"Cheng Cosine" |
| Date: |
09 Aug 2006 08:24:02 PM |
| Object: |
? how to understand and remove measurement errros |
Whenever talking about real-wrold measurements, there come with noises.
Most commnoly mentioned is the Gaussian noise, especially, the one with zero
mean. By assuming a zero mean Gaussian, one can eliminate its effect at the
price of taking multiple same measurements and then take average. But what
if the nosie is Gaussian with non-zero mean? Also, are there ways to
estimate
standard deviation of a Gaussian noise? What are the good starting books to
learn identifying types of noise involved in measurements, estimating
parameters
related to one type of error, and removing/minimizing effects of noise?
Thanks,
by Cheng Cosine
Aug/09/2k6 NC
.
|
|
| User: "Zod, General" |
|
| Title: Re: ? how to understand and remove measurement errros |
09 Aug 2006 08:40:03 PM |
|
|
"Cheng Cosine" <acosine@spamfree.com> wrote in message
news:SUvCg.33397$so3.6125@southeast.rr.com...
Whenever talking about real-wrold measurements, there come with noises.
Most commnoly mentioned is the Gaussian noise, especially, the one with
zero
mean. By assuming a zero mean Gaussian, one can eliminate its effect at
the
price of taking multiple same measurements and then take average. But
what
if the nosie is Gaussian with non-zero mean? Also, are there ways to
estimate
standard deviation of a Gaussian noise? What are the good starting books
to
learn identifying types of noise involved in measurements, estimating
parameters
related to one type of error, and removing/minimizing effects of noise?
Thanks,
by Cheng Cosine
Aug/09/2k6 NC
yes.
In fact one must characterize the noise first instead of just assuming it is
gaussian.
It is part of the process too.
channel noise, channel characterization, google them
.
|
|
|
|
|
Related Articles |
|
|
