Search Results - Statistical Signal Processing
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Methodology of statistical synthesis and analysis methods for stochastic signal processing in multi-antenna radio direction finders
Published 2025-05-01Subjects: Get full text
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Performance Statistics of Autoregressive Short and Ultrashort Signal Detectors
Published 2024-05-01“…Parametric spectral estimation methods provide an improved level of frequency resolution compared to matched signal processing conventionally used in radar technology. …”
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Strategy for Visual Measurement of Power Quality Based on Higher-Order Statistics and Exploratory Big Data Analysis
Published 2025-06-01Subjects: Get full text
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Algorithm for the analysis of kinematic characteristics of running
Published 2020-12-01Subjects: Get full text
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Features of the use of the statistical method of frequency stabilization of generators in distributed information-measuring systems
Published 2019-12-01“…It is shown that the possibility of using a statistical method to stabilize the frequency of generators in distributed informationmeasuring systems is determined not only with the values of nominal frequencies and relative instabilities of generators included into the information-measuring system, but also by the autocorrelation function of a random process describing the change of information signal frequency. …”
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Experimental statistical analysis of radar signals reflected from weather hazards
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COVID-19 Diagnosis Using Spectral and Statistical Analysis of Cough Recordings Based on the Combination of SVD and DWT
Published 2023-04-01Subjects: “…Corona Virus, Cough Sound, COVID-19, DWT, Feature Extraction, Signal Processing, Statistical Analysis, SVD…”
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Estimation of coordinating abilities of a person based on analysis of electromiographic patterns of movements
Published 2019-06-01Subjects: Get full text
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Innovative Business Development. Statistical Control of Processes in Six Sigma
Published 2018-04-01“…Calculations were made using a software package for the processing of statistical data Minitab. Results. Six Sigma has tools for statistical control that allow determining the causes that divert the process from the state of equilibrium. …”
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ESTIMATION OF SATELLITE ALTIMETER ECHO-SIGNAL PARAMETERS BY STATISTICAL FITTING METHODS IN THE COURSE OF RETRACKING
Published 2019-02-01“…In many modern measuring systems the altimeter data is processed in several stages. One of them is the ground-based retracking of the information streamed from the spacecraft. …”
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Enhancing bathymetric LiDAR by applying fractal dimensions to signal processing
Published 2025-07-01“…It is commonly used in signal processing in different fields of research. …”
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UTILIZATION OF IMAGE AND SIGNAL PROCESSING TECHNIQUES FOR ASSESSMENT OF BUILT HERITAGE CONDITION
Published 2018-10-01“…As many historical buildings in the Czech Republic are built using sandstone that can be considered as a typical heterogeneous system, statistical signal processing is a promising approach for determination of the representative volume element (RVE) dimensions. …”
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EVALUATION OF ELECTROMYOGRAPHIC NOISE STATISTICAL CHARACTERISTICS IN MULTICHANNEL ECG RECORDINGS
Published 2018-12-01“…The purpose of this paper is to study statistical characteristics of electromyographic noise in ECG signal, from which the electromyographic noise is extracted. …”
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Voice Traces of Anxiety: Acoustic Parameters Affected by Anxiety Disorder
Published 2018-10-01Get full text
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Method of polarization selection of navigation objects in adverse weather conditions using statistical properties of radio signals
Published 2025-03-01“…It provides a novel application of Stokes parameters in radar signal processing for navigation objects, validated by experimental data. …”
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EFFECT OF KINEMATIC PARAMETERS OF ELBOW MOTION ON BICEPS ELECTROMYOGRAPHIC SIGNAL
Published 2014-12-01“…The technique of recording EMG signals from the biceps, as well as of the signal processing methods are presented. …”
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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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