void adaptive_lms(void)
{
    // First, produce y_lms.
    fir_fr16(pointer, pointer_out, 1, &state);	//Call the in-built efficient FIR filter.
    
    // Find the error signal
    adder_unit();
    
    // Calculate the step size------------------------------------
    // If you do not want to update the step size automatically,
    // comment this section of step size calculation between the
    // top and bottom comments.
    _NLMS_step_updater_sum(sum_int_p, sum_fract_p, &state);
    
    sum = sum_int + fr16_to_float(sum_fract);
    
    meu = 1 / (0.5 + sum);	//alpha = 1 and gamma = 0.5.
    
    if(meu>=1)
    {
        step_size=0x7fff;
    }
    else
    {
        step_size = float_to_fr16(meu);
    }
    //Step size calculation ends----------------------------------
    
    // Lastly, update the filter coefficients
    _coeff_updater(error_sig, step_size, &state);
    
}
int main() {
	fract16 data[WINDOW_LENGTH];

	int index;
	for (index = 0; index < WINDOW_LENGTH; index++) {
		data[index] = float_to_fr16(test_input[index]);
	}

	struct Coef shelving_coef = get_shelving_coef();
	pre_emphasis(data, WINDOW_LENGTH, shelving_coef);

	for (index = 0; index < WINDOW_LENGTH; ++index) {
		float test = fr16_to_float(data[index]);
		// printf("%f\n", fr16_to_float(data[index]));
	}
	return 0;
}