noise removal

On Mar 19, 3:59 am, John_W_Her...@yahoo.com (John Herman) wrote:
> In article <1171653397.871035.17...@v45g2000cwv.googlegroups.com>, sampson...@gmail.com wrote:
> >On Feb 16, 1:55 am, "babyish_angel" <babyish_an...@yahoo.com> wrote:
> >> hi everyone,
>
> >> does anyone of u knws how to remove noise in a graph?its kind of a new
> >> thing because normally we hear bout how to remove noise in an image.
>
> >> please let me knw if anyone of u knw.thnx.
>
> >I don't know what you mean by "graph", but if it's a one-dimensional
> >data series, simple tools at your disposal include:
>
> >1. Lowpass filter
> >2. Highpass filter
> >3. Median filter
>
> >John
>
> Is wavelet denoising an option?  I've seen papers on this subject though it
> always seemed like a fairy tale.
>
> If I know my signal waveform, I can use a matched filter in either the
> frequency domain or in the time domain.  In seismic work, the high frequency
> components disappear quickly so a matched filter might be time varying.


so john,what are u proposing?matched filter is it?ive nvr heard of it
before

Google is your friend:

http://en.wikipedia.org/wiki/Matched_filter

In article <1175842134.726079.232530@y66g2000hsf.googlegroups.com>, 
"babyish_angel" <babyish_angel@yahoo.com> wrote:
>On Mar 19, 3:59 am, John_W_Her...@yahoo.com (John Herman) wrote:
>> In article <1171653397.871035.17...@v45g2000cwv.googlegroups.com>,
> sampson...@gmail.com wrote:
>> >On Feb 16, 1:55 am, "babyish_angel" <babyish_an...@yahoo.com> wrote:
>> >> hi everyone,
>>
>> >> does anyone of u knws how to remove noise in a graph?its kind of a new
>> >> thing because normally we hear bout how to remove noise in an image.
>>
>> >> please let me knw if anyone of u knw.thnx.
>>
>> >I don't know what you mean by "graph", but if it's a one-dimensional
>> >data series, simple tools at your disposal include:
>>
>> >1. Lowpass filter
>> >2. Highpass filter
>> >3. Median filter
>>
>> >John
>>
>> Is wavelet denoising an option?  I've seen papers on this subject though it
>> always seemed like a fairy tale.
>>
>> If I know my signal waveform, I can use a matched filter in either the
>> frequency domain or in the time domain.  In seismic work, the high frequency
>> components disappear quickly so a matched filter might be time varying.
>
>
>so john,what are u proposing?matched filter is it?ive nvr heard of it
>before
>