raab/GP2023_chirp_detection
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prominance in peak detection

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This commit is contained in:
wendtalexander 2023-01-12 14:35:55 +01:00
parent 3af4426a26
commit a8f6c69fef
1 changed files with 2 additions and 3 deletions
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code/chirpdetection.py
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@ -69,7 +69,7 @@ def instantaneos_frequency(
upper_time = np.abs(time_signal[period_index])
lower_time = np.abs(time_signal[period_index - 1])
# create ratios
# create ratio
lower_ratio = lower_bound / (lower_bound + upper_bound)
# appy to time delta
@ -177,8 +177,6 @@ def main(datapath: str) -> None:
window_starts = np.arange(
raw_time[0], raw_time[-1], window_duration - window_overlap / 2)
embed()
exit()
t0 = 3 * 60 * 60 + 6 * 60 + 43.5
dt = 60
@ -305,6 +303,7 @@ def main(datapath: str) -> None:
axs[6].plot(baseline_freq_time, np.abs(inst_freq_filtered))
# detect peaks baseline_enelope
embed()
prominence = iqr(baseline_envelope)
baseline_peaks, _ = find_peaks(
baseline_envelope, prominence=prominence)