v1.0.0 - The “Finally Not Beta” Edition

v.1.0.0 :)

v0.9 - Near Complete Release

Known issues:
set_membership.simplified_puap.py
nonlinear.comples_rbf.py

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Code is mostly done and standardized with notebooks to test all of the functions (probably).
Just need to finish these two algorithms correcly and maybe redo the automatic tests(?) maybe not, it feels fine.

Module / Category	Exported classes (examples)	Data type
lms/ (LMS family)	LMS, NLMS, AffineProjection, SignData, SignError, DualSign, LMSNewton, Power2ErrorLMS, TDomainLMS, TDomainDCT, TDomainDFT	Real/Complex
rls/ (RLS family)	RLS, RLSAlt	Complex
set_membership/ (Set-membership)	SMNLMS, SMBNLMS, SMAffineProjection, SimplifiedSMAP, SimplifiedSMPUAP	Complex
lattice/ (Lattice-based RLS)	LRLSPosteriori, LRLSErrorFeedback, LRLSPriori, NormalizedLRLS	Real/Complex
fast_rls/ (Fast Transversal RLS)	FastRLS, StabFastRLS	Complex
qr_decomposition/ (QR-RLS)	QRRLS	Real
iir/ (Adaptive IIR)	ErrorEquation, GaussNewton, GaussNewtonGradient, RLSIIR, SteiglitzMcBride	Real/Complex
nonlinear/ (Nonlinear models)	VolterraLMS, VolterraRLS, BilinearRLS, RBF, ComplexRBF, MultilayerPerceptron	Real/Complex
subband/ (Subband)	OLSBLMS, DLCLLMS, CFDLMS	Real
blind/ (Blind equalization)	CMA, Godard, Sato, AffineProjectionCM	Complex
kalman/ (Kalman)	Kalman	Real
base/ (Core API)	AdaptiveFilter	N/A

Just missing these two and probably set up correclty the Data type information on this table.

Almost There - Now with tests!

Implemented Tests and refactored LMS, RLS, Set Memberships, LatticeRLS, FastRLS, QR_RLS and IIR_Filters.
Unfortunately StabFastRLS is unstable and SetMembership_PUAP is also unstable in this build.
It is also missing hte Nonlinear, Subband and Blind Adaptive Filters.

Almost there.

PydaptiveFiltering alpha for Pypi

v0.3

Update __init__.py