v1.2.2

Added new adaptive filters: Variable step-size least-mean-square (VSLMS) with Mathews’s adaptation, Variable step-size least-mean-square (VSLMS) with Benveniste’s adaptation, Variable step-size least-mean-square (VSLMS) with Ang’s adaptation.

v1.2.1

Bugfix of AdaptiveFilter adapt function.

v1.2.0

All adaptive filters were significantly refactored. Added new adaptive filters Generalized maximum correntropy criterion (GMCC), Least Lncosh (Llncosh). Added new detection tool Extreme Seeking Entropy (ESE). ANN module is removed from docs, and will be removed totally in future - there are much better Python libraries for ANN utilization.

v1.1.1

Bugfix of adaptive filter helper function according to Patrick Bartels comments.

More adaptive filters

Added new adaptive filters: Least-mean-fourth (LMF), Normalized Least-mean-fourth (NLMF), Sign-sign Least-mean-squares (SSLMS) and Normalized Sign-sign Least-mean-squares (NSSLMS).

Detection Module

Added module Detection Tools containing Learning Entropy (LE) and Error and Learning Based Novelty Detection (ELBND). All implemented adaptive filters were updated. As a result, some obsolete helper functions for the adaptive filters were removed. Please use newer helper functions introduced in v0.7. Tutorials were updated and moved to https://github.com/matousc89/Python-Adaptive-Signal-Processing-Handbook

Update of adaptive filters

Added new helper functions into Adaptive Filters base class. Furthermore, the documentation for adaptive filters module was updated. Added functions for error evaluation - MSE, MAE, RMSE and logSE.

Update of preprocessing features

Added Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). The whole documentation for preprocess module was updated.

v0.5

Bugfix according to issue opened by https://github.com/lolpenguin

v0.4

Added AP Filter. And also the first unit tests were implemented.