The algebraic eigenvalue problem
The algebraic eigenvalue problem
Convergence behavior of affine projection algorithms
IEEE Transactions on Signal Processing
Derivation of Excess Mean-Square Error for Affine Projection Algorithms Using the Condition Number
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
An affine projection algorithm using the inner product of input vectors
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Affine projection algorithm with selective projections
Signal Processing
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This paper proposes a novel affine projection (AP) algorithm that offers a data-selective method using the condition number as a criterion for low misalignment. Capable of keeping the condition number of an input data matrix small, the proposed AP algorithm adopts a recently reported technique of E-norm instead of L"2-norm to reduce the computational burden during the estimation of the condition number. The simulation results show that the proposed algorithm has a lower misalignment than the conventional algorithm in the steady state.