Past methods for mapping the least-mean-square (LMS) adaptive finite-impulse-response
(FIR) filter onto parallel and pipelined architectures either introduce delays in the coefficient …

This paper proposes an adaptive least mean square (LMS) algorithm that can he pipelined
and has an efficient architecture for hardware implementation. The proposed algorithm …

An FPGA-based fixed-point standard-LMS algorithm core is proposed for adaptive signal
processing (ASP) realization in real time. The LMS core is designed in VHDL93 language as …

In this article an FPGA-based image channel denoiser using a 1D-standard-LMS algorithm
is proposed. The designed core is written in VHDL93 language as basis of 1D-FIR adaptive …

In this paper we propose a new pipelined architecture for the LMS adaptive filter which can
be implemented with less than half the amount of calculation needed for the conventional …

In this paper, we propose two new pipelined adaptive digital filter architectures. The
architectures are based on an equivalent expression of the least mean square (LMS) …

An FPGA-based channel noise canceller using a fixed-point standard-LMS algorithm for
image transmission is proposed. The proposed core is designed in VHDL93 language as …

Computational cost presents a barrier in the application of machine learning algorithms to
large-scale real-time learning problems. Kernel adaptive filters (KAFs) have low …

In order to realize the adaptive signal processing in real time, a modified fixed-point LMS
algorithm for implementation in hardware was proposed in this paper. Expressions of this …

In this paper we propose a new pipelined architecture for the DLMS algorithm which can be
implemented with less than half an amount of calculation compared to the conventional …