Nonlinear signal processing
This dataset is proposed for human activity recognition tasks. The static activities including sitting, standing, and laying, as well as walking, running, cycling, and walking upstairs/downstairs. Each activity lasts for 2 minutes, 50 subjects were involved in the experiments.
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A qualitative and quantitative extension of the chaotic models used to generate self-similar traffic with long-range dependence (LRD) is presented by means of the formulation of a model that considers the use of piecewise affine onedimensional maps. Based on the disaggregation of the temporal series generated, a valid explanation of the behavior of the values of Hurst exponent is proposed and the feasibility of their control from the parameters of the proposed model is shown.
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This Matlab model and the included results are submitted as reference for the paper ''.
Presenting a comparative study of the Sequential Unscented Kalman Filter (SUKF), Least-squares (LS) Multilateration and standard Unscented Kalman Filter (UKF) for localisation that relies on sequentially received datasets.
The KEWLS and KKF approach presents a novel solution using Linear Kalman Filters (LKF) to extrapolate individual sensor measurements to a synchronous point in time for use in LS Multilateration.
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This article explores the required amount of time series points from a high-speed computer network to accurately estimate the Hurst exponent. The methodology consists in designing an experiment using estimators that are applied to time series addresses resulting from the capture of high-speed network traffic, followed by addressing the minimum amount of point required to obtain in accurate estimates of the Hurst exponent.
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This open access webpage has all miscellaneous data and design related to ß-machines- Non-Medical, ß-Biomedical machines, processed ECG, sensors, heart and breathing patterns, sounds, finite element analysis, mathematics and BioEngineering.
As all only want free download and I used to get emails to share data freely ; with IEEE DataPort I had began journey of Data, so I will do update data as long as IEEE DataPort allows it or as long as I can or . I might also upload same data externally to other site.
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This is an open-access page. All content can be freely downloaded after sign-up. This webpage has datasets of 'Computational Biology' and Novel ß-Bio models for Woman/Females with clinical investigation in simulation, proposed by me as Self-Claimed advancements .
Make sure you have read LegalDisclosureStatement, as some later accuse of hiding.
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This is a two-part open-access page -'Data:B-Bio Models-1 and 'Data:B-Bio Models-2'. This webpage contains datasets and models, with clinical investigation in simulation, proposed by me which are Self-Claimed advancements, in support of my Research, Discovery and Claim. All the content can be freely downloaded after sign-up.
Make sure you have read LegalDisclosureStatement, as some later accuse of hiding.
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This is an open-access page. All content can be freely downloaded after sign-up. This webpage contains datasets and models, which are in support of my Research papers-'Geometrical Insight on Sinusoidal Waveform - Part I and Geometrical Insight on Sinusoidal Waveform - Part II'.
I have used Python, Julia, MATLAB, Scilab, PSPICE The known code, modified code and other codes along with
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The data set contains electrical and mechanical signals from experiments on three-phase induction motors. The experimental tests were carried out for different mechanical loads on the induction motor axis and different severities of broken bar defects in the motor rotor, including data regarding the rotor without defects. Ten repetitions were performed for each experimental condition.
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