IEEE

A block LMS-type algorithm with a function controlled variable step-size for sparse system identification

Abstract: Block least-mean-square algorithm has a very fast processing time compared to the conventional LMS algorithm. This is due to the updating mechanism of the filter coefficients. Filter ...
IEEE

A block LMS-type algorithm for sparse system identification with analysis

Abstract: The LMS-type algorithms are effectively used in diverse adaptive filtering applications such as; blind system identification, channel equalization, etc. For some applications such as echo ...
GitHub

lms-algorithm

Various melodic noise filtering techniques viz. Adaptive Noise Cancellation, Spectral Methods and Deep Learning algorithms have been employed to filter music signals corrupted with additive Gaussian ...
Design-Reuse

Mapping LMS Adaptive Filter IP Core to Multiplier-Array FPGA Architecture for High Channel-Density VOIP Line Echo Cancellation

The LMS adaptive filter is the main functional block in high channel-density line echo cancellers for VOIP. In this paper, we describe an LMS adaptive FIR filter IP and estimate its performance when ...
Frontiers

Robust-momentum-learning-rate-based adaptive fractional-order least mean squares approach for power system frequency estimation using chaotic Harris hawks optimization

A novel robust adaptive technique is proposed to estimate the instantaneous power system frequency using a momentum-learning-control-rate-based fractional-order least mean squares approach with ...