Signal Processing
This dataset is in support of my Research paper 'Design of 6-DoF Combat Quadcopter'.
Preprint:
The system is basic, on existing designs.It is very simple for any graduate,degree holder.
Related Claim : Novel ß Non-Linear Theory
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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 claim and presentation. Make sure you have read LegalDisclosureStatement, as some later accuse of hiding.
I. Research/ Presentation Title *:
(For Free download, pls. click on title)
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The dataset consists a training and testing folder with received signal strength (RSS) data, obtained from a ray-tracing software (Wireless Insite). There are K=8 anchor nodes and N=12 regions.
- In the folder _training, it contains 8 * 12 = 96 separate .p2m files, each file corresponds to a RSS data collected from a grid number of user locations (coordinate is given in the .p2m file) with respect to a certain Anchor node
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This code is provided here for research purpose(s) only. You are allowed to use this code/data provided that you cite the following papers:
Pilipović, R.; Risojević, V.; Bulić, P. On the Design of an Energy Efficient Digital IIR A-Weighting Filter Using Approximate Multiplication. Sensors 2021, 21, 732. https://doi.org/10.3390/s21030732
For questions and suggestions, please email Ratko Pilipović (ratko.pilipovic@fri.uni-lj.si).
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In this dataset, we performed a seven-day motor imagery (MI) based BCI experiment without feedback training on 20 healthy subjects. The MI tasks include left hand, right hand, feet and idle task.
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Electroretinography (ERG) has great potential in visual health detection in early diagnosis and intervention. To date, optical coherence tomography and other diagnostic tests are mainly used. Clinically used ERG is an important diagnostic assessment for various retinal diseases, such as hereditary diseases (retinitis pigmentosa, choroideremia, cone dystrophy, etc), diabetic retinopathies, glaucoma, macular degeneration, toxic retinopathies etc. A database of five types of adult and pediatric biomedical electroretinography signals is presented in this study.
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This dataset contains RF signals from drone remote controllers (RCs) of different makes and models. The RF signals transmitted by the drone RCs to communicate with the drones are intercepted and recorded by a passive RF surveillance system, which consists of a high-frequency oscilloscope, directional grid antenna, and low-noise power amplifier. The drones were idle during the data capture process. All the drone RCs transmit signals in the 2.4 GHz band. There are 17 drone RCs from eight different manufacturers and ~1000 RF signals per drone RC, each spanning a duration of 0.25 ms.
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MATLAB code for test spectrum sensing algorithm based on statistical processing of instantaneous magnitude (SPIM). The associated SCRIPTs allow: Generating different signals to check the method, FHSS, LFM, CW Pulse, etc. Plot the generated signal, the detection threshold and compare it with the ideal detection. Determine the errors for the different hypotheses based on SNR. Calculate errors in the determination of the amplitude and frequency for different SNRs. Evaluate the probability of detection with different threshold control values A and U.
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- See our next journal papers*.
- *Suppl. to: Proc.
- XVI International Conference on Thermal Analysis and Calorimetry in Russia (RTAC-2020). July 6th , 2020, Moscow, Russia. Book of Abstracts. — Moscow. “Pero” Publisher, 2020. — 9 MB. [Electronic edition]. ISBN 978-5-00171-240-4
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