I am a little confused by your ppost. You seem to be saying that
since the filter is 32 samples long, you are iterating over 32
samples. But I don't think that's what you mean. If you are asking
how many samples it will take for the filter to converge, then that is
an exponential exp[-1/(mu * lambda(m))], where mu is the gain, and
lambda(m) is the minimum eigenvalue. The number of samples it will
take to converge is dependent on the sampling rate.
Maurice Givens
"Zach R." <zrimkunas@verizon.net> wrote in message news:<yj3Qa.11308$Kw1.8216@nwrdny02.gnilink.net>...

> Hi all,
> I am currently trying to implement a simple LMS algorithm in C and on an
> analog deviced blackfin ez-kit. The only real problem is that I am trying
> to implement it in a streaming manner and as close to real time as possible.
> I have an implementation but it isn't working.
> I am wondering how many samples should I be looking at when estimating
> the gradient? The books I have been reading pretty much just use the
> samples in the filter e.g. the last 32 samples for a 32nd order filter.
> That is how I have been estimating the gradient, should it work?
>
> Thanks for your help,
> Zach

Reply by navan●July 14, 20032003-07-14

It should work. Try playing with the step size.
If you are doubtful about your implementation of the algorithm try it
in matlab or 'C' code on PC.
Navan
"Zach R." <zrimkunas@verizon.net> wrote in message news:<yj3Qa.11308$Kw1.8216@nwrdny02.gnilink.net>...

> Hi all,
> I am currently trying to implement a simple LMS algorithm in C and on an
> analog deviced blackfin ez-kit. The only real problem is that I am trying
> to implement it in a streaming manner and as close to real time as possible.
> I have an implementation but it isn't working.
> I am wondering how many samples should I be looking at when estimating
> the gradient? The books I have been reading pretty much just use the
> samples in the filter e.g. the last 32 samples for a 32nd order filter.
> That is how I have been estimating the gradient, should it work?
>
> Thanks for your help,
> Zach

Reply by Zach R.●July 12, 20032003-07-12

Hi all,
I am currently trying to implement a simple LMS algorithm in C and on an
analog deviced blackfin ez-kit. The only real problem is that I am trying
to implement it in a streaming manner and as close to real time as possible.
I have an implementation but it isn't working.
I am wondering how many samples should I be looking at when estimating
the gradient? The books I have been reading pretty much just use the
samples in the filter e.g. the last 32 samples for a 32nd order filter.
That is how I have been estimating the gradient, should it work?
Thanks for your help,
Zach