Abstract: LMS algorithm has low computation complexity; however, its convergence rate is slow. In this paper, a novel implementation scheme for LMS algorithm is proposed to form a modified LMS ...
Abstract: In order to improve the convergence speed of the existing LMS algorithms, a new LMS algorithm with variable step size based on the Swish function is proposed, and the effects of the ...
Takes four input arguments: d: Desired signal (numpy array) x: Input signal (numpy array) mu: Learning rate (float) M: Number of filter coefficients (int) Uses the ...
Various deep learning models and techniques, including the LMS Algorithm for adaptive filtering, a simple neural network, CIFAR-10 classification, optimized training pipelines, advanced CNN ...
ABSTRACT: This paper describes a new approach to finite-impulse (FIR) system identification. The method differs from the traditional stochastic approximation method as used in the traditional ...
One of the main objectives of adaptive antenna array processing is reducing the computational complexity and convergence time in a joint state. This article proposes a speed-sensitive adaptive ...
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 ...
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