Engineering The power spectrum of a sine wave (C language)

AI Thread Summary
The discussion revolves around deriving the power spectrum of a sinusoidal signal using C programming. The user is attempting to implement a Discrete Fourier Transform (DFT) but encounters issues with non-zero values for frequencies other than the expected one. Key insights include the importance of aligning the sinusoid frequency with Fourier frequencies to achieve a delta function representation in the power spectrum. Suggestions highlight the need to integrate over an integer multiple of cycles to avoid spectral leakage. The user expresses understanding and plans to adjust their approach based on this feedback.
arcTomato
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Homework Statement
Derive the power spectrum of sinusoid
Relevant Equations
descrete fourier transform
Hi

I would like to Derive the power spectrum of sinusoid.I tried like this. But It doesn't work.

<Moderator: CODE tags added>
C:
#include <stdio.h>
#include <math.h>

#define pi 3.1415926535    
FILE *in_file, *out_file;
int main()
{
    dft();
}
int dft(int argc, char *argv[])
{ 
    char *filename_in = argv[1];
    char *filename_out = argv[2];
    if(argc != 3){
        printf("使い方: ./a.out <入力ファイル名> <出力ファイル名>\n");
        return 0;
    }
    int j, k, N;
    int max = 100000;
    double f[max], re = 0, I am = 0;
    if((in_file=fopen(filename_in,"r"))==NULL){
        printf("in_file cannot open\n");
        return 0;
    }

    for(N=0; N<max; N++) {
        if(fscanf(in_file,"%lf", &f[N]) == EOF) break;
    }
    fclose(in_file);

    if((out_file=fopen(filename_out,"w"))==NULL){
        printf("outfile cannot open\n");
        return 0;
    }
    //DFT part
    for(j=(-N/2); j<N/2; j++) {
        for(k=0; k<N; k++) {
            re += f[k]*cos(2*pi*j*k/N);
            I am += -f[k]*sin(2*pi*j*k/N);
        }
        fprintf(out_file,"%d, %f\n", j, re*re+im*im);
    }

    fclose(out_file);
    return 0;
}
When sinusoid frequancy is 7 and the sampling time series ##T=0.01s##, this is the power spectrum.

1573374414734.png
The paper I read says that "Only when the frequency of the sinusoid is equal to one of the Fourier frequencies will all power be concentrated in one bin of the discrete Fourier transform.", so I think the power spectrum should be delta function.

How can I derive the power spectrum as delta function?
Thank you.
 
Last edited by a moderator:
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Apparently your sums add up to non zero values for other frequencies. Under which circumstances can that happen ?
(hint: look at your homework equations :smile: )
 
Thanks @BvU!
I think "the frequency of the sinusoid is equal to one of the Fourier frequencies" is the circumstances.
But I don't understand why,,,,
 
I began to read your code, and desisted when I encountered the following character string that I perceived to be inclusive of non-Roman characters: printf("使い方: ./a.out <入力ファイル名> <出力ファイル名>\n");
 
thanks @sysprog!

What is wrong with that?That part is usage.
 
  • Informative
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arcTomato said:
Thanks @BvU!
I think "the frequency of the sinusoid is equal to one of the Fourier frequencies" is the circumstances.
But I don't understand why,,,,
As an example: Suppose your signal is ##\sin x##, under what circumstances can e.g. $$\int_a^b \sin x \sin 2x\ dx $$come out non-zero. Or, turned around: what are the conditions for $$\int_a^b \sin x \sin 2x\ dx \ = 0 $$
 
Thanks for your kindness , @BvU!
The integration interval is ##2π##?
So What should I change to derive the power spectrum as delta function?
Data number??or Sampling time series??
 
Did you guess the answer to my question ?
Read up on spectral leakage, windowing and such.

For your signal you want to make sure you integrate (sum) over an integer multiple of cycles (both from the signal and the sampling wave 2*π*j*k/N).

(With that I answered my own question :woot: )
 
Thank you @BvU!

I think I got it:>
I will try it!
 
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