Release Highlights for spkit 0.0.9.6¶

Release Highlights for spkit 0.0.9.6

We are pleased to announce the release of spkit 0.0.9.6, which comes with more algorithms, such as Ramajuna methods and MEA and many bug fixes.

MEA: Multi-Electrode Array Processing¶

A full Documentation of MEA Processing Library is added.

MEA: Multi-Electrode Array Processing

https://raw.githubusercontent.com/spkit/spkit.github.io/master/assets/images/docs_fig/mea_proce_2.png

https://raw.githubusercontent.com/spkit/spkit.github.io/master/assets/images/docs_fig/mea_proce_3.png

Check Examples: Multi-Electrode-Array (MEA)

Ramanujan Methods for period estimation¶

import numpy as np
import matplotlib.pyplot as plt
import spkit as sp
# demo1
sp.RFB_example_1(period=10, SNR=0, seed=10)

# demo2
sp.RFB_example_2(periods=[3, 7, 11], signal_length=100, SNR=10, seed=15)

top 10 periods:  [10  5 11 18 17 16 15 14 13 12]
Top 10 periods :
 - using L1 regularisation with penalty    :  [ 3  7 11  2  6  5 10 15  4  8]
 - using L1 regularisation with no penalty :  [ 3  2 89 65 61 67 52 71 70 79]
 - using L2 regularisation with penalty    :  [ 3  7  2  6  5 11  4  8 10 13]
 - using no regularisation no  penalty     :  [ 3 11  7 28 50 90 34 26 27 29]

Total running time of the script: (0 minutes 2.992 seconds)