Nov 16, 2011 · In this paper, the random matrix in the compressive and subspace compressive detectors is optimized based on the particle swarm optimization ...
Simulation results show the proposed PSO-based detectors can achieve a better detection performance and require fewer measurements than the traditional ...
Nov 16, 2011 · The measurement matrix of subspace compressive detection is constructed based on the signal subspace information. The signal energy can be.
Abstract: In this paper, the random matrix in the compressive and subspace compressive detectors is optimized based on the particle swarm optimization (PSO) ...
In this paper, the random matrix in the compressive and subspace compressive detectors is optimized based on the particle swarm optimization (PSO).
A new technique for QRS complex detection of electrocardiogram signals, using particle swarm optimisation (PSO)-based adaptive filter (AF), is proposed.
This paper proposes a lightweight, reliable and efficient NLOS recognition scheme focusing on channel state information (CSI), named PNLOS-MFC.
Jul 30, 2021 · This study aimed to explore an accurate feature extraction method of ECG and establish a suitable model for identifying AECG and the diagnosis of heart disease.
Dec 14, 2024 · In this work, we propose an optimized signal denoising method PSO-VMD (Particle Swarm Optimization–Variational Mode Decomposition). By ...
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This paper proposes a multi-objective particle swarm optimisation (MO-PSO) for optimal threshold selection. The proposed approach is tested using IEEE power ...