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Originally posted by eagle:what u want to do with matlab.... haven't say leh...
i dunnoe i can post my question here or nt (suppose to be a mini project) but, here is the description:
using the LMS (least mean square) algorithm, remove a 50HZ noise from the ECG signal (the ECG signal has 50 HZ noise, so u are suppose to remove it using the LMS algorithm)
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Originally posted by hiphop2009:i dunnoe i can post my question here or nt (suppose to be a mini project) but, here is the description:
using the LMS (least mean square) algorithm, remove a 50HZ noise from the ECG signal (the ECG signal has 50 HZ noise, so u are suppose to remove it using the LMS algorithm)Dun understand electronics....

But...what is the LMS algorithm? Provided??
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Originally posted by hiphop2009:i dunnoe i can post my question here or nt (suppose to be a mini project) but, here is the description:
using the LMS (least mean square) algorithm, remove a 50HZ noise from the ECG signal (the ECG signal has 50 HZ noise, so u are suppose to remove it using the LMS algorithm)haha... sounds similar to a lab that I need to do soon for a particular module on digital signal processing... but I haven't go and find out how to do yet...

just FYI, the 50Hz noise is due to the power lines from the power source, which is at 50Hz....
Are you supposed to write something to plot a transfer function of a notch filter at 50Hz?
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Originally posted by eagle:haha... sounds similar to a lab that I need to do soon for a particular module on digital signal processing... but I haven't go and find out how to do yet...

just FYI, the 50Hz noise is due to the power lines from the power source, which is at 50Hz....
Are you supposed to write something to plot a transfer function of a notch filter at 50Hz?nt exactly, btw, i PM-ed you. go check it.

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Originally posted by hiphop2009:nt exactly, btw, i PM-ed you. go check it.

think I can't help much

Still not exactly sure....
The LMS algorithm for a pth order algorithm can be summarized as
Parameters:
p = filter order
u = step size
Initialisation:
Computation: For n = 0,1,2,...



Maybe initialise the details, and code out a loop in matlab?
Reference:
http://en.wikipedia.org/wiki/Least_mean_squares_filter
http://www.es.lth.se/ugradcourses/asb/CE/CE2e.pdf
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Originally posted by eagle:think I can't help much

Still not exactly sure....
The LMS algorithm for a pth order algorithm can be summarized as
Parameters:
p = filter order
u = step size
Initialisation:
Computation: For n = 0,1,2,...



Maybe initialise the details, and code out a loop in matlab?
Reference:
http://en.wikipedia.org/wiki/Least_mean_squares_filter
http://www.es.lth.se/ugradcourses/asb/CE/CE2e.pdf
hmmm....ok thanks a million! i discuss it further with my frenz in my grp.
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Originally posted by hiphop2009:i dunnoe i can post my question here or nt (suppose to be a mini project) but, here is the description:
using the LMS (least mean square) algorithm, remove a 50HZ noise from the ECG signal (the ECG signal has 50 HZ noise, so u are suppose to remove it using the LMS algorithm)why not just do a fourier transformt hen remove the 50 Hz component?
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Originally posted by hiphop2009:i dunnoe i can post my question here or nt (suppose to be a mini project) but, here is the description:
using the LMS (least mean square) algorithm, remove a 50HZ noise from the ECG signal (the ECG signal has 50 HZ noise, so u are suppose to remove it using the LMS algorithm)Aka using a bloody filter lah!!!
Which version of the campus program of matlab u using?
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Originally posted by eagle:think I can't help much

Still not exactly sure....
The LMS algorithm for a pth order algorithm can be summarized as
Parameters:
p = filter order
u = step size
Initialisation:
Computation: For n = 0,1,2,...



Maybe initialise the details, and code out a loop in matlab?
Reference:
http://en.wikipedia.org/wiki/Least_mean_squares_filter
http://www.es.lth.se/ugradcourses/asb/CE/CE2e.pdf
How about you ask him to use the different windows in the Matlab program?
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just to borrow this topic...
I have an osscilation waveform,P and i wanna find the magnitude rougly 5 secs after it starts oscillating.
I know a function called, max(), so, can i use max() - min () to get the magnitude?
Because, if i put max(P) - min (P), it will gimme the magnitude starting from time 0s, which i dun wan ...Or is there another way to find the magnitude after some T time of a waveform ?
Any help ?
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