GitHub - imjustadog/AE-ANALYSIS-CLASSIFICATION: recognition and localization for the pencil crack AE signal

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
models		models
saver		saver
1 60 0 1 o d 8 1.png		1 60 0 1 o d 8 1.png
1 60 0 1 x 140 1 2.png		1 60 0 1 x 140 1 2.png
AE.ipynb		AE.ipynb
AE_input.ipynb		AE_input.ipynb
AE_input_fric_ch1_20.tfrecord		AE_input_fric_ch1_20.tfrecord
AE_input_knock.tfrecord		AE_input_knock.tfrecord
AE_input_knock_ch1.tfrecord		AE_input_knock_ch1.tfrecord
AE_input_sand_ch1.tfrecord		AE_input_sand_ch1.tfrecord
AE_input_sand_ch1_20.tfrecord		AE_input_sand_ch1_20.tfrecord
AE_input_show.ipynb		AE_input_show.ipynb
AE_input_train1.tfrecord		AE_input_train1.tfrecord
AE_input_train_ch1.tfrecord		AE_input_train_ch1.tfrecord
AE_stastic.ipynb		AE_stastic.ipynb
AE_test.ipynb		AE_test.ipynb
CAE.ipynb		CAE.ipynb
CAE_input.ipynb		CAE_input.ipynb
CAE_input.tfrecord		CAE_input.tfrecord
CAE_input_show.ipynb		CAE_input_show.ipynb
RBF_tensorflow.ipynb		RBF_tensorflow.ipynb
SAE.ipynb		SAE.ipynb
SAE2.ipynb		SAE2.ipynb
SAE2_input.ipynb		SAE2_input.ipynb
SAE2_test.ipynb		SAE2_test.ipynb
SAE_test.ipynb		SAE_test.ipynb
VAE.ipynb		VAE.ipynb
VAE_input.ipynb		VAE_input.ipynb
VAE_input.tfrecord		VAE_input.tfrecord
VAE_test.ipynb		VAE_test.ipynb
cross_with_frequency_stft.py		cross_with_frequency_stft.py
cross_with_frequency_wt.py		cross_with_frequency_wt.py
draw_single_cross_energy.py		draw_single_cross_energy.py
draw_single_cross_st.py		draw_single_cross_st.py
draw_single_cross_stft.py		draw_single_cross_stft.py
draw_single_cross_wave.py		draw_single_cross_wave.py
draw_single_cross_wt.py		draw_single_cross_wt.py
drawspectrum.py		drawspectrum.py
drawspectrumall.py		drawspectrumall.py
drawwave.py		drawwave.py
drawwaveall.py		drawwaveall.py
energy_stastic.py		energy_stastic.py
find_frequency.ipynb		find_frequency.ipynb
find_frequency.py		find_frequency.py
generatewave.py		generatewave.py
knn		knn
rbf_input.py		rbf_input.py
regression.ipynb		regression.ipynb
regression_input.ipynb		regression_input.ipynb
st.py		st.py
st_analysis.py		st_analysis.py
st_max.py		st_max.py
st_recognition.py		st_recognition.py
st_stastic.py		st_stastic.py
stft_fitting.py		stft_fitting.py
stft_stastic.py		stft_stastic.py
threshold_wt_stastic.py		threshold_wt_stastic.py
train		train
wave_fitting.py		wave_fitting.py
wave_stastic.py		wave_stastic.py
wt.py		wt.py
wt_analysis.py		wt_analysis.py
wt_fitting.py		wt_fitting.py
wt_knn.py		wt_knn.py
wt_knn_ae_stastic.py		wt_knn_ae_stastic.py
wt_localization.py		wt_localization.py
wt_max.py		wt_max.py
wt_recognition.py		wt_recognition.py
wt_stastic.py		wt_stastic.py
wt_subsample.py		wt_subsample.py