The numerical stability properties of the split Levinson algorithm for
computing the pedictor polynomial associated with a positive-definite
real symmetric Toeplitz matrix are explored. Various bounds on the re
sidual vector are derived for the fixed-point and floating-point imple
mentation of the algorithm. These bounds are similar in form to the bo
unds derived by Cybenko for the Levinson algorithm and are obtained by
converting a three-term recurrence for the error vector to an equival
ent two-term recurrence. From the bounds the conclusion is that the sp
lit Levinson algorithm is weakly stable.