New gradient-based variable step size LMS algorithms
EURASIP Journal on Advances in Signal Processing
Variable step-size LMS algorithm with a quotient form
Signal Processing
LMS algorithm with an adaptive neural network cost function
WSEAS TRANSACTIONS on COMMUNICATIONS
A modified Armijo rule for the online selection of learning rate of the LMS algorithm
Digital Signal Processing
Utilising variable vector step-size in normalised LMS algorithm
International Journal of Computer Applications in Technology
A variable step-size selective partial update LMS algorithm
Digital Signal Processing
Efficient Artifact Elimination in Cardiac Signals using Variable Step Size Adaptive Noise Cancellers
International Journal of Measurement Technologies and Instrumentation Engineering
Hi-index | 35.68 |
The gradient adaptive step-size least-mean-square (LMS) algorithms [an important family of variable step-size LMS (VSLMS) algorithms] are revisited. We propose a simplification to a class of the studied algorithms and show that this leads to a new class of VSLMS algorithms with reduced complexity but with no observable loss in performance