void
mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
int m,n,nt;
int nfft, step, npoints;
int ntapers = 6;
int tlock = 5;
double tm = 6.0;
double flock=0.01;
double *spec;
mfft* mtmh;
mxClassID data_type;
double *data_double;
if (nlhs < 1)
return;
if ((nrhs < 4) || (nrhs > 4) || (nlhs > 1))
mexErrMsgTxt("SP = TFRSPEC(S, N, step, Np, K, tm, flock, tlock)");
/* parse arguments */
m = mxGetM(prhs[0]);
n = mxGetN(prhs[0]);
if ((m > 1) && (n > 1))
mexErrMsgTxt("Input signal must be a 1-D time series");
nt = (m > n) ? m : n;
/* check data type */
data_type = mxGetClassID(prhs[0]);
if (!(data_type==mxDOUBLE_CLASS))
mexErrMsgTxt("Input signal must be double precision");
/*data_double = mxGetPr(prhs[0]);*/
nfft = mxGetScalar(prhs[1]);
step = mxGetScalar(prhs[2]);
npoints = mxGetScalar(prhs[3]);
if (nrhs > 4)
ntapers = mxGetScalar(plhs[4]);
if (nrhs > 5)
tm = mxGetScalar(prhs[5]);
if (nrhs > 6)
flock = mxGetScalar(prhs[6]);
if (nrhs > 7)
tlock = mxGetScalar(prhs[7]);
/* generate transform object */
mtmh = mtm_init_herm(nfft, npoints, ntapers, tm);
/* allocate output array */
plhs[0] = mxCreateDoubleMatrix(SPEC_NFREQ(mtmh), SPEC_NFRAMES(mtmh,nt,step),mxREAL);
spec = mxGetPr(plhs[0]);
/* calculate spectrogram; use the right precision fxn */
data_double = mxGetPr(prhs[0]);
tfr_spec(mtmh, spec, data_double, nt, -1, step, flock, tlock, -1, 0);
mtm_destroy(mtmh);
}
int
main(int argc, char **argv)
{
mfft *mtmh;
double *sig, *psd, *specgram;
double sigpow;
printf("* Testing TFR library:\n");
printf("* N = %d\n", N);
printf("* shift = %d\n", step);
printf("* MTM NW = %3.2f\n", NW);
printf("* TFR Np = %d\n", Np);
printf("* TFR k = %d\n", k);
printf("* TFR tm = %3.2f\n", tm);
sig = (double*)malloc(17590 * sizeof(double));
fmsin(sig, npoints, 0.15, 0.45, 1024, 256./4, 0.3, -1);
printf("* Input signal to tfr_in.dat\n");
write_file("tfr_in.dat", sig, npoints, 1);
mtmh = mtm_init_dpss(N, NW, (int)(NW*2-1));
printf("* MTM PSD to tfr_out_psd\n");
psd = (double*)malloc(N * sizeof(double));
sigpow = mtfft(mtmh, sig+8300, N);
mtpower(mtmh, psd, sigpow);
write_file("tfr_out_psd.dat", psd, N/2 + 1, 1);
free(psd);
const int l = (npoints - Np + 1) / step;
printf("* MTM spectrogram to tfr_out_mtm\n");
specgram = (double*)calloc(l * (N/2+1), sizeof(double));
mtm_spec(mtmh, specgram, sig, npoints, step, 1);
write_file("tfr_out_mtm.dat", specgram, l, (N/2+1));
free(specgram);
mtm_destroy(mtmh);
printf("* TFR spectrogram to tfr_out_tfr\n");
mtmh = mtm_init_herm(N, Np, k, tm);
specgram = (double*)calloc(l * (N/2+1), sizeof(double));
tfr_spec(mtmh, specgram, sig, npoints, -1, step, 0.01, 5, 0, NULL);
write_file("tfr_out_tfr.dat", specgram, l, (N/2+1));
free(specgram);
mtm_destroy(mtmh);
free(sig);
}
/* methods */
static PyObject*
libtfr_tfr_spec(PyObject *self, PyObject *args)
{
/* arguments */
PyObject *o = NULL;
PyArrayObject *signal = NULL;
PyArrayObject *signal_cast = NULL;
PyObject *o2 = NULL;
PyArrayObject *fgrid = NULL;
PyArrayObject *fgrid_cast = NULL;
int N;
int step;
int Np;
int K = 6;
double tm = 6.0;
double flock = 0.01;
int tlock = 5;
/* output data */
npy_intp out_shape[2];
PyArrayObject *outdata = NULL;
double *spec;
/* internal stuff */
mfft *mtmh;
double *samples;
double *fgridp = NULL;
/* parse arguments */
if (!PyArg_ParseTuple(args, "Oiii|iddiO", &o, &N, &step, &Np, &K, &tm, &flock, &tlock, &o2))
return NULL;
signal = (PyArrayObject*) PyArray_FromAny(o, NULL, 1, 1, NPY_CONTIGUOUS, NULL);
if (signal==NULL) {
PyErr_SetString(PyExc_TypeError, "Input signal must be an ndarray");
return NULL;
}
int nfreq = N/2+1;
if (o2!=NULL && o2!=Py_None) {
fgrid = (PyArrayObject*) PyArray_FromAny(o2, NULL, 1, 1, NPY_CONTIGUOUS, NULL);
if (fgrid!=NULL) {
fgridp = coerce_ndarray_double(fgrid, &fgrid_cast);
if (fgridp==NULL) {
PyErr_SetString(PyExc_TypeError, "Unable to cast frequency grid to supported data type");
goto fail;
}
nfreq = PyArray_SIZE(fgrid);
}
}
/* coerce input data to proper type */
samples = coerce_ndarray_double(signal, &signal_cast);
if (samples==NULL) {
PyErr_SetString(PyExc_TypeError, "Unable to cast signal to supported data type");
goto fail;
}
/* initialize transform object - window size may be adjusted */
mtmh = mtm_init_herm(N, Np, K, tm);
/* allocate output array */
out_shape[0] = nfreq;
out_shape[1] = SPEC_NFRAMES(mtmh,PyArray_SIZE(signal),step);
outdata = (PyArrayObject*) PyArray_ZEROS(2,out_shape,NPY_DOUBLE,1); // last arg give fortran-order
spec = (double*) PyArray_DATA(outdata);
/* do the transform */
tfr_spec(mtmh, spec, samples, PyArray_SIZE(signal),
-1, step, flock, tlock, nfreq, fgridp);
mtm_destroy(mtmh);
Py_DECREF(signal);
Py_XDECREF(signal_cast);
Py_XDECREF(fgrid);
Py_XDECREF(fgrid_cast);
return PyArray_Return(outdata);
fail:
Py_XDECREF(fgrid_cast);
Py_XDECREF(fgrid);
Py_XDECREF(signal_cast);
Py_XDECREF(signal);
return NULL;
}
