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c++calgorithmmathwaveform

sine wave that slowly ramps up frequency from f1 to f2 for a given time


I'm writing a c program to generate a sinusoidal wave that slowly ramps up frequency from f1 to f2 for a giving time interval.

I have written this c program to ramp the frequency from 0 to 10 Hz but the problem is that the frequency changes after completion of 360 degrees. If I try to change the frequency between 0 and 360 degree that the transition is not smooth and it is abrupt.

This is the equation the sin that I have used y = Amplitude*sin(freq*phase)

int main(int argc, char *argv[]) {

double y, freq,phase;
int count; // for convenience of plotting in matlab so all the waves are spread on x axis.
  for (freq = 0; freq < 10; freq+=1) {
      for (phase = 0; phase < 360; phase++) { // phase is 360 degrees
      y = 3 * sin((count*6.283185)+(freq*(phase*(3.14159/180))));   
    printf("%f %f %f \n", freq, phase, y);
   }
  count++;
  }
return EXIT_SUCCESS;
}
  1. How do I change frequency smoothly for a given time period?
  2. should I be looking into Fourier transformations?

Solution

  • if you want angular frequency (w=2 pi f) to vary linearly with time then dw/dt = a and w = w0 + (wn-w0)*t/tn (where t goes from 0 to tn, w goes from w0 to wn). phase is the integral of that, so phase = w0 t + (wn-w0)*t^2/(2tn) (as oli says):

    void sweep(double f_start, double f_end, double interval, int n_steps) {
        for (int i = 0; i < n_steps; ++i) {
            double delta = i / (float)n_steps;
            double t = interval * delta;
            double phase = 2 * PI * t * (f_start + (f_end - f_start) * delta / 2);
            while (phase > 2 * PI) phase -= 2 * PI; // optional
            printf("%f %f %f", t, phase * 180 / PI, 3 * sin(phase));
        }
    }
    

    (where interval is tn and delta is t/tn).

    here's the output for the equivalent python code (1-10Hz over 5 seconds):

    1-10 Hz over 5 seconds

    from math import pi, sin
    
    def sweep(f_start, f_end, interval, n_steps):
        for i in range(n_steps):
            delta = i / float(n_steps)
            t = interval * delta
            phase = 2 * pi * t * (f_start + (f_end - f_start) * delta / 2)
            print t, phase * 180 / pi, 3 * sin(phase)
    
    sweep(1, 10, 5, 1000)
    

    ps incidentally, if you're listening to this (or looking at it - anything that involves human perception) i suspect you don't want a linear increase, but an exponential one. but that's a different question...