et

ssqueezepy/_stft.py

@@ -13,7 +13,7 @@
 
 
 def stft(x, window=None, n_fft=None, win_len=None, hop_len=1, dt=1,
-         modulated=True, padtype='reflect', derivative=False):
+         padtype='reflect', modulated=True, derivative=False):
     """Compute the short-time Fourier transform and modified short-time
     Fourier transform from [1].
 

ssqueezepy/ssqueezing.py

@@ -136,10 +136,7 @@ def _compute_associated_frequencies(dt, na, N, transform, ssq_scaletype,
             if transform == 'cwt':
                 ssq_freqs = np.linspace(fm, fM, na)
             elif transform == 'stft':
-                # ??? seems to be 0 to f_sampling/2, but why use N?
-                # what about fm and fM?
                 ssq_freqs = np.linspace(0, .5, na) / dt
-                # ssq_freqs = ssq_freqs[:na // 2]
         return ssq_freqs
 
     def _process_args(w, fs, t, N, transform, squeezing, scales, mapkind,

tests/all_test.py

@@ -19,7 +19,7 @@ def decor(*args, **kw):
 from ssqueezepy.wavelets import time_resolution, _xifn
 from ssqueezepy.wavelets import _aifftshift_even, _afftshift_even
 from ssqueezepy.utils import cwt_scalebounds, buffer, est_riskshrink_thresh
-from ssqueezepy.utils import window_norm, window_resolution, window_area
+from ssqueezepy.utils import window_resolution, window_area
 from ssqueezepy._cwt import _icwt_norm
 from ssqueezepy._stft import _get_window
 from ssqueezepy.visuals import hist, plot, scat, imshow
@@ -184,7 +184,6 @@ def _pass_on_error(fn, *args, **kw):
 def test_windows():
     window = _get_window(None, win_len=100, n_fft=128)
 
-    window_norm(window)
     window_area(window, time=True, frequency=True)
     window_resolution(window)