1 Summary of Transversal adaptive algorithms

Functions implementing transversal adaptive filters algorithms are summarized in Table 3.1. The initialization functions for those algorithms are summarized in Table 3.2. Each of the two tables includes a short description of each function and a pointer to the function reference section.

Table 3.1: Functions implementing transversal adaptive algorithms.

Function Name	Reference	Short Description
asptarlmsnewt	4.1	AR-modeling implementation of LMS-Newton method.
asptbfdaf	4.2	Block Frequency Domain Adaptive Filter (BFDAF) algorithm.
asptblms	4.3	Block Least Mean Squares
asptbnlms	4.4	Block Normalized Least Mean Squares
asptdrlms	4.5	Data Reusing Least Mean Squares
asptdrnlms	4.6	Data Reusing Normalized Least Mean Squares
asptleakylms	4.7	Leaky Normalized LMS algorithm.
asptlclms	4.8	Linearly Constrained LMS (LCLMS) algorithm.
asptlms	4.9	Least Mean Squares (LMS) and several of its variants.
asptmvsslms	4.10	Modified Variable Step Size LMS algorithm.
asptnlms	4.11	Normalized LMS (NLMS) algorithm.
asptpbfdaf	4.12	Partitioned Block Frequency Domain (PBFDAF) algorithm.
asptrcpbfdaf	4.13	Reduced Complexity PBFDAF (RCPBFDAF) algorithm.
asptrdrlms	4.14	Recent Data Reusing Least Mean Squares
asptrdrnlms	4.15	Recent Data Reusing Normalized Least Mean Squares
asptrls	4.16	Recursive Least Squares (RLS) algorithm.
aspttdftaf	4.17	Transform domain Fault Tolerant Adaptive Filter.
aspttdlms	4.18	Transform domain LMS algorithm.
asptvffrls	4.19	Variable Forgetting Factor RLS (VFFRLS).
asptvsslms	4.20	Variable Step Size LMS (VSSLMS) algorithm.

Table 3.2: Functions for creating and initializing the transversal adaptive filters.

Function Name	Reference	Short Description
init_ arlmsnewt	4.21	Initialize AR modeling implementation of LMS-Newton method.
init_ bfdaf	4.22	Initialize Block Frequency Domain Adaptive Filter.
init_ blms	4.23	Initialize Block Least Mean Squares
init_ bnlms	4.24	Initialize Block Normalized Least Mean Squares
init_ drlms	4.25	Initialize Data Reusing Least Mean Squares
init_ drnlms	4.26	Initialize Data Reusing Normalized Least Mean Squares
init_ leakynlms	4.27	Initialize Leaky Normalized Least Mean Squares.
init_ lclms	4.28	Initialize Linearly Constrained LMS.
init_ lms	4.29	Initialize Least Mean Squares (LMS).
init_ mvsslms	4.30	Initialize Modified Variable Step Size LMS algorithm.
init_ nlms	4.31	Initialize Normalized LMS.
init_ pbfdaf	4.32	Initialize Partitioned Block Frequency Domain.
init_ rcpbfdaf	4.33	Initialize Reduced Complexity Partitioned BFDAF.
init_ rdrlms	4.34	Initialize Recent Data Reusing Least Mean Squares
init_ rdrnlms	4.35	Initialize Recent Data Reusing Normalized Least Mean Squares
init_ rls	4.36	Initialize Recursive Least Squares.
init_ tdftaf	4.37	Initialize Transform Domain Fault Tolerant Adaptive Filter.
init_ tdlms	4.38	Initialize Transform domain LMS.
init_ vffrls	4.39	Initialize Variable Forgetting Factor RLS (VFFRLS).
init_ vsslms	4.40	Initialize Variable Step Size LMS.