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 ...

Abstract: In almost all analyzes of the least mean-square (LMS) finite impulse response (FIR) adaptive algorithm, it is assumed that the length of the adaptive filter is equal to that of the unknown ...

Abstract: Noise cancellation aims to reduce or eliminate unwanted signals from the original signals, such as audio signals, thereby improving signal quality and clarity. A popular method for active ...

This project focuses on designing a real-time 2nd order Adaptive Notch Filter (ANF) to address acoustic feedback problems, particularly acoustic howling in closed-loop systems. It leverages the ...

This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and processing ...

In this paper, the authors describe the concept of adaptive noise cancelling, an alternative method of estimating signals corrupted by additive noise or interference. A desired signal corrupted by ...

After the ISA converges, the rotor vibration amplitude Vin is gradually reduced. in V drops from 11.74 um to 2.70 um, decreasing by 77.0%. Performing FFT analysis to the rotor displacement, the 1st ...

System identification is the art and science of building mathematical models of dynamic systems from observed input-output data .This paper combines Particle Swarm Optimization Algorithm and LMS ...

This repository includes the full implementation of the experimental setup used in the published paper, including ML/DL models, simulations, and analysis.