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Comparative Analysis of Denoising Techniques for Optimizing EEG Signal Processing
Published 2025-01-01Get full text
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Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal Processing
Published 2024-12-01“…This paper presents a technique for defining the optimal parameters of a moving window when processing the signal of a vibration accelerometer installed on a ball drum mill as part of the automation system. …”
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AI-Driven Signal Processing for SF6 Circuit Breaker Performance Optimization
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An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing
Published 2025-09-01“…The main objective of the proposed optimal weighting-based CNN-LSTM-SVM (OCLS) hybrid classifier is to simultaneously leverage the unique advantages of CNN in feature extraction from input signals, LSTM in modeling the sequential patterns of signals, SVM in classifying regular patterns, and especially the proposed weighting algorithm to optimally integrate the outputs of these components. …”
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Development and Optimization of a Differential Signal-Based Fabry-Perot Interferometer for Nanopositioning
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Optimization of Precoding Phase Distribution for Frequency-Multiplication Vector Signal Generation
Published 2017-01-01Get full text
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ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATION
Published 2022-01-01“…In this paper, a method of cutting vibration signal analysis and optimization based on blind source separation is proposed in milling process. …”
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Research on the Optimization of the Electrode Structure and Signal Processing Method of the Field Mill Type Electric Field Sensor
Published 2025-07-01“…On this basis, the above parameters were optimized. A signal processing circuit incorporating a pre-integral transformation circuit, a differential amplification circuit, and a bias circuit was investigated, and a completed mathematical model of the input and output of the field mill type electric field sensor was established. …”
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Optimized Time-domain Feature Extraction for Early Onset Diagnosis of Parkinson Disease From EEG Signals
Published 2025-07-01“…Objectives: This study aims to develop a diagnostic method for PD by combining signal processing techniques with machine learning (ML) algorithms. …”
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Optimal reception of multiple phase shift keying and quadrature amplitude modulation signals with non-coherent processing of harmonic interference
Published 2023-02-01“…The aim of the present work is to synthesize and analyze the optimal algorithm for the reception of M-PSK and M-QAM signals with incoherent processing of harmonic interference.Methods. …”
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Advancing mmWave Altimetry for Unmanned Aerial Systems: A Signal Processing Framework for Optimized Waveform Design
Published 2024-08-01“…Leveraging the software-defined architecture, this study encompasses the intricacies of frequency modulated continuous waveform (FMCW) design for three distinct stages of UAS flight: cruise, landing approach, and touchdown within a signal processing framework. Angle of arrival (AoA) estimation, traditionally employed in terrain mapping applications, is largely unexplored for UAS radar altimeters (RAs). …”
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Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests
Published 2023-01-01“…<italic>Conclusions:</italic> Defining a set of optimal methods for the extraction of muscle synergies from a clnical test such as the sit-to-stand is of key relevance to ensure the applicability of any synergy-related analysis in the clinical practice, without requiring knowledge of the technical signal processing methods and the underlying features of the signal.…”
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Block encoding bosons by signal processing
Published 2025-05-01“…Block Encoding (BE) is a crucial subroutine in many modern quantum algorithms, including those with near-optimal scaling for simulating quantum many-body systems, which often rely on Quantum Signal Processing (QSP). …”
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Design of Optimal Filter for Analog Signal
Published 2018-12-01“…Application of the developed technique for designing the optimal time constant in the automated measurement and control systems will ensure high quality of the filtration process and small dynamic error of the filtered signal.…”
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