switch source package format to 3.0 quilt
[debian/gnuradio] / gnuradio-core / src / python / gnuradio / blks2impl / logpwrfft.py
index 7ef40be40a92bb4f55a872e05802e95fd2b3f0c2..200c4cfbe86a6b8c8c38c2bd366329df650b7c8a 100644 (file)
@@ -28,7 +28,7 @@ class _logpwrfft_base(gr.hier_block2):
     Create a log10(abs(fft)) stream chain, with real or complex input.
     """
 
     Create a log10(abs(fft)) stream chain, with real or complex input.
     """
 
-    def __init__(self, sample_rate, fft_size, ref_scale, frame_rate, avg_alpha, average):
+    def __init__(self, sample_rate, fft_size, ref_scale, frame_rate, avg_alpha, average, win=None):
         """
         Create an log10(abs(fft)) stream chain.
         Provide access to the setting the filter and sample rate.
         """
         Create an log10(abs(fft)) stream chain.
         Provide access to the setting the filter and sample rate.
@@ -38,6 +38,7 @@ class _logpwrfft_base(gr.hier_block2):
         @param frame_rate        Output frame rate
         @param avg_alpha        FFT averaging (over time) constant [0.0-1.0]
         @param average                Whether to average [True, False]
         @param frame_rate        Output frame rate
         @param avg_alpha        FFT averaging (over time) constant [0.0-1.0]
         @param average                Whether to average [True, False]
+        @param win              the window taps generation function
         """
         gr.hier_block2.__init__(self, self._name,
                                 gr.io_signature(1, 1, self._item_size),          # Input signature
         """
         gr.hier_block2.__init__(self, self._name,
                                 gr.io_signature(1, 1, self._item_size),          # Input signature
@@ -48,7 +49,8 @@ class _logpwrfft_base(gr.hier_block2):
                                               vec_rate=frame_rate,
                                               vec_len=fft_size)
 
                                               vec_rate=frame_rate,
                                               vec_len=fft_size)
 
-        fft_window = window.blackmanharris(fft_size)
+        if win is None: win = window.blackmanharris
+        fft_window = win(fft_size)
         fft = self._fft_block[0](fft_size, True, fft_window)
         window_power = sum(map(lambda x: x*x, fft_window))
 
         fft = self._fft_block[0](fft_size, True, fft_window)
         window_power = sum(map(lambda x: x*x, fft_window))