5e39277e4051aa2fb458a9ccd9c5832b58431cc4,tutorials/plot_5-BurstDetection.py,,,#,22
Before Change
fs = 1000
// Same code as earlier
times = np.arange(0, len(sig)/fs, 1/fs)
// Detect bursts using "deviation" algorithm
bursting = detect_bursts_dual_threshold(sig, fs, f_range, dual_thresh=(3, 3))
After Change
fs = 1000
// Same code as earlier
times = create_times(len(sig)/fs, fs)
// Detect bursts using "deviation" algorithm
bursting = detect_bursts_dual_threshold(sig, fs, f_range, dual_thresh=(3, 3))
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 5
Instances
Project Name: neurodsp-tools/neurodsp
Commit Name: 5e39277e4051aa2fb458a9ccd9c5832b58431cc4
Time: 2019-04-19
Author: tdonoghue@ucsd.edu
File Name: tutorials/plot_5-BurstDetection.py
Class Name:
Method Name:
Project Name: neurodsp-tools/neurodsp
Commit Name: 5e39277e4051aa2fb458a9ccd9c5832b58431cc4
Time: 2019-04-19
Author: tdonoghue@ucsd.edu
File Name: tutorials/plot_3-LaggedCoherence.py
Class Name:
Method Name:
Project Name: neurodsp-tools/neurodsp
Commit Name: 5e39277e4051aa2fb458a9ccd9c5832b58431cc4
Time: 2019-04-19
Author: tdonoghue@ucsd.edu
File Name: tutorials/plot_6-SlidingWindowMatching.py
Class Name:
Method Name:
Project Name: neurodsp-tools/neurodsp
Commit Name: 5e39277e4051aa2fb458a9ccd9c5832b58431cc4
Time: 2019-04-19
Author: tdonoghue@ucsd.edu
File Name: tutorials/plot_2-InstantaneousMeasures.py
Class Name:
Method Name: