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author | andreas128 <Andreas> | 2017-04-02 10:46:49 +0100 |
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committer | andreas128 <Andreas> | 2017-04-02 10:46:49 +0100 |
commit | 2aa99f6275e2530a8dd4d3be270e9d7a3633cd66 (patch) | |
tree | 9bb6c05b6e17e3c00c4d68660cb47f846c4d66ba /src/dab_util.py | |
parent | 3ee39e3ae187e76b252b5758c12bd35e5707e187 (diff) | |
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Add two tone and mer measure
Diffstat (limited to 'src/dab_util.py')
-rw-r--r-- | src/dab_util.py | 10 |
1 files changed, 7 insertions, 3 deletions
diff --git a/src/dab_util.py b/src/dab_util.py index 8ab1e03..fbd1cc6 100644 --- a/src/dab_util.py +++ b/src/dab_util.py @@ -3,9 +3,13 @@ import scipy import matplotlib.pyplot as plt import fftconvolve -c = { - "bw":1536000 - } +c = {} +c["bw"]=1536000 +c["frame_ms"]=96 +c["frame_8192000"]=c["frame_ms"] * 8192 +c["frame_2048000"]=c["frame_ms"] * 2048 +c["sym_8192000"]=96./76*8192 +c["sym_2048000"]=96./76*2048 def calc_fft(signal, fft_size = 1024, sampling_rate = 1, plot = False): """returns one numpy array for the frequencies and one for the corresponding fft""" |