diff options
| author | Tom Rondeau <trondeau@vt.edu> | 2012-12-21 15:11:39 -0500 |
|---|---|---|
| committer | Tom Rondeau <trondeau@vt.edu> | 2012-12-21 21:19:13 -0500 |
| commit | 55d3e4a47958be287648a2021f7e92d81086b2d9 (patch) | |
| tree | ae0195c457f2cf2734376679cc88c2d728040680 /gr-fft/python/logpwrfft.py | |
| parent | fa781237f341a74a243a9fb930daee7e62c3a682 (diff) | |
blocks: removes blocks moved to gr-blocks from gnuradio-core.
Also fixes up some other missing moves.
Diffstat (limited to 'gr-fft/python/logpwrfft.py')
| -rw-r--r-- | gr-fft/python/logpwrfft.py | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/gr-fft/python/logpwrfft.py b/gr-fft/python/logpwrfft.py index f48b60518f..18ccb356d0 100644 --- a/gr-fft/python/logpwrfft.py +++ b/gr-fft/python/logpwrfft.py @@ -20,7 +20,7 @@ # from gnuradio import gr, window -from gnuradio.blks2 import stream_to_vector_decimator +from gnuradio import blocks import sys, math import fft_swig as fft @@ -54,10 +54,10 @@ class _logpwrfft_base(gr.hier_block2): gr.io_signature(1, 1, self._item_size), # Input signature gr.io_signature(1, 1, gr.sizeof_float*fft_size)) # Output signature - self._sd = stream_to_vector_decimator(item_size=self._item_size, - sample_rate=sample_rate, - vec_rate=frame_rate, - vec_len=fft_size) + self._sd = blocks.stream_to_vector_decimator(item_size=self._item_size, + sample_rate=sample_rate, + vec_rate=frame_rate, + vec_len=fft_size) if win is None: win = window.blackmanharris fft_window = win(fft_size) @@ -66,10 +66,10 @@ class _logpwrfft_base(gr.hier_block2): c2magsq = gr.complex_to_mag_squared(fft_size) self._avg = filter.single_pole_iir_filter_ff(1.0, fft_size) - self._log = gr.nlog10_ff(10, fft_size, - -20*math.log10(fft_size) # Adjust for number of bins - -10*math.log10(window_power/fft_size) # Adjust for windowing loss - -20*math.log10(ref_scale/2)) # Adjust for reference scale + self._log = blocks.nlog10_ff(10, fft_size, + -20*math.log10(fft_size) # Adjust for number of bins + -10*math.log10(window_power/fft_size) # Adjust for windowing loss + -20*math.log10(ref_scale/2)) # Adjust for reference scale self.connect(self, self._sd, fft, c2magsq, self._avg, self._log, self) self._average = average |