"Una Murphy" wrote
Got your info off the web . Was wondering if you tutor people in
FFT ? I am looking for someone in the SF bay area.
We are a tutor group for teaching the Python programming language.
You probably want a math tutor group.
If however you want to implement a FFT solution
Hi Jeff
Got your info off the web . Was wondering if you tutor people in
FFT ? I am looking for someone in the SF bay area.
Thank you
Una
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Hi again, is there a good reason why the output is dependant upon the sampling rate. in the example if you increase from say 64 to 128 samples the output increases by a factor of 2.
Christian Meesters <[EMAIL PROTECTED]> wrote:
Hi Jeff,On 3 Aug 2005, at 02:03, Jeff Peery wrote:> hope this is more
Hi Jeff,
On 3 Aug 2005, at 02:03, Jeff Peery wrote:
> hope this is more clear. from the output I would expect that two
> spikes appear with amplitude = 1.
[snip]
> I don't understand the output amplitudes. they should all be zero
> except for at one herz it should be one. not sure about the fre
Hi Christian,
sorry for the lack of detail. how about I use a sine wave because I know what the output should look like - amplitude of one at frequency equal to the frequency of the sine wave.
one period of a sin wave that cycles at one hertz:
period = 1
input = sin(arange(0,64)*3.14159*2/64.
Hi
Pawel Kraszewski wrote:
> 4. The answer is symmetrical - usually you take only half of it. I
> don't
> remember the exact difference between the halves, but you may find it
> in any
> article on FFT.
The real part is identical the imaginary part has the opposite sign
("same amplitude, oppos
Hi Jeff,
> Yes, for an odd square wave the b's of the fourier series are non zero
> for even values and zero for odd values of n. these are the coefficients
> for the fourier series. Although I beleive the fft (fourier transform)
> should return the amplitude of frequencies that exist. so for e
-- Forwarded message --
Date: Mon, 1 Aug 2005 16:21:33 -0700 (PDT)
From: Jeff Peery <[EMAIL PROTECTED]>
To: Danny Yoo <[EMAIL PROTECTED]>
Subject: Re: [Tutor] fourier transform
Danny, thanks for the help. Yes, for an odd square wave the b's of the fourier
se
ok, this makes more sense. what I want to know is the amplitude for the output frequencies. I'm using import FFT, and FFT.fft(). the first element of the output is the DC constant? not sure what this is. is the amplitude for all other elements plus the DC equal to the actual amplitude?
thanks.Paw
ok, this makes more sense. what I want to know is the amplitude for the output frequencies. I'm using import FFT, and FFT.fft(). the first element of the output is the DC constant? not sure what this is. is the amplitude for all other elements plus the DC equal to the actual amplitude?
thanks.Paw
On Mon, 1 Aug 2005, Jeff Peery wrote:
> thanks for the help. I think I'm understanding this a bit better.
> although I still don't completely understand the output. here is an
> example... for the input I have 1024 samples taken from a 1 Hz square
> wave with amplitude = 1. for the output I wou
thanks for the help. I think I'm understanding this a bit better. although I still don't completely understand the output. here is an example... for the input I have 1024 samples taken from a 1 Hz square wave with amplitude = 1. for the output I would expect an infinite number of frequencies. the
Jeff Peery wrote:
>
> Hello, I have a signal that I want to do a fourier transform on. I
> tried using FFT.fft(data).real but I don't understand the output.
> what is output from this function, and why doesn't it require
> amplitude and time as inputs?
Hi Jeff,
As Danny wrote, your input are
> Hello, I have a signal that I want to do a fourier transform on. I tried
> using FFT.fft(data).real but I don't understand the output. what is output
> from this function, and why doesn't it require amplitude and time as
> inputs?
Please write the package you use for FFT. Standard Python doesn'
On Fri, 29 Jul 2005, Jeff Peery wrote:
> Hello, I have a signal that I want to do a fourier transform on. I tried
> using FFT.fft(data).real but I don't understand the output. what is
> output from this function, and why doesn't it require amplitude and time
> as inputs?
Hi Jeff,
Do you mean
Hello, I have a signal that I want to do a fourier transform on. I tried using FFT.fft(data).real but I don't understand the output. what is output from this function, and why doesn't it require amplitude and time as inputs?
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