#include #include #include #include #include #include #include int main(void) { const size_t N = 1000; /* length of time series */ const size_t K = 61; /* window size */ const double alpha = 3.0; /* Gaussian kernel has +/- 3 standard deviations */ gsl_vector *x = gsl_vector_alloc(N); /* input vector */ gsl_vector *y = gsl_vector_alloc(N); /* filtered output vector */ gsl_vector *dy = gsl_vector_alloc(N); /* first derivative filtered vector */ gsl_vector *d2y = gsl_vector_alloc(N); /* second derivative filtered vector */ gsl_rng *r = gsl_rng_alloc(gsl_rng_default); gsl_filter_gaussian_workspace *gauss_p = gsl_filter_gaussian_alloc(K); size_t i; /* generate input signal */ for (i = 0; i < N; ++i) { double xi = (i > N / 2) ? 0.5 : 0.0; double ei = gsl_ran_gaussian(r, 0.1); gsl_vector_set(x, i, xi + ei); } /* apply filters */ gsl_filter_gaussian(GSL_FILTER_END_PADVALUE, alpha, 0, x, y, gauss_p); gsl_filter_gaussian(GSL_FILTER_END_PADVALUE, alpha, 1, x, dy, gauss_p); gsl_filter_gaussian(GSL_FILTER_END_PADVALUE, alpha, 2, x, d2y, gauss_p); /* print results */ for (i = 0; i < N; ++i) { double xi = gsl_vector_get(x, i); double yi = gsl_vector_get(y, i); double dyi = gsl_vector_get(dy, i); double d2yi = gsl_vector_get(d2y, i); double dxi; /* compute finite difference of x vector */ if (i == 0) dxi = gsl_vector_get(x, i + 1) - xi; else if (i == N - 1) dxi = gsl_vector_get(x, i) - gsl_vector_get(x, i - 1); else dxi = 0.5 * (gsl_vector_get(x, i + 1) - gsl_vector_get(x, i - 1)); printf("%.12e %.12e %.12e %.12e %.12e\n", xi, yi, dxi, dyi, d2yi); } gsl_vector_free(x); gsl_vector_free(y); gsl_vector_free(dy); gsl_vector_free(d2y); gsl_rng_free(r); gsl_filter_gaussian_free(gauss_p); return 0; }