This is a C++ Program to compute the coefficients of the DFT (Discrete Fourier Transform) directly. In mathematics, the discrete Fourier transform (DFT) converts a finite list of equally spaced samples of a function into the list of coefficients of a finite combination of complex sinusoids, ordered by their frequencies, that has those same sample values. It can be said to convert the sampled function from its original domain (often time or position along a line) to the frequency domain.
Here is source code of the C++ Program to Compute DFT Coefficients Directly. The C++ program is successfully compiled and run on a Linux system. The program output is also shown below.
#include<iostream>
#include<math.h>
using namespace std;
#define PI 3.14159265
class DFT_Coefficient
{
public:
double real, img;
DFT_Coefficient()
{
real = 0.0;
img = 0.0;
}
};
int main(int argc, char **argv)
{
int N = 10;
cout << "Calculation DFT Coefficients\n";
cout << "Enter the coefficient of simple linear function:\n";
cout << "ax + by = c\n";
double a, b, c;
cin >> a >> b >> c;
double function[N];
for (int i = 0; i < N; i++)
{
function[i] = (((a * (double) i) + (b * (double) i)) - c);
//System.out.print( " "+function[i] + " ");
}
cout << "Enter the max K value: ";
int k;
cin >> k;
double cosine[N];
double sine[N];
for (int i = 0; i < N; i++)
{
cosine[i] = cos((2 * i * k * PI) / N);
sine[i] = sin((2 * i * k * PI) / N);
}
DFT_Coefficient dft_val;
cout << "The coefficients are: ";
for (int i = 0; i < N; i++)
{
dft_val.real += function[i] * cosine[i];
dft_val.img += function[i] * sine[i];
}
cout << "(" << dft_val.real << ") - " << "(" << dft_val.img << " i)";
}
Output:
$ g++ DFTCoefficient.cpp $ a.out Calculation DFT Coefficients Enter the coefficient of simple linear funtion: ax + by = c 1 2 3 Enter the max K value: 2 The coefficients are: (-15) - (-20.6457 i) ------------------ (program exited with code: 0) Press return to continue
Sanfoundry Global Education & Learning Series – 1000 C++ Programs.
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