Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia

About the Journal

RADAP is a refereed non-profit both paper and electronic journal operated by the following people (all from the Radioengineering Faculty of Igor Sikorskiy Kyiv Politechnic Institute).

Announcements

Recognition as Category A Journal

2020-04-06

The journal is recognised by Ministry of Education and Science of Ukraine as high level scientific journal (category A), in which the results of dissertation works can be published on the receipt of scientific degrees of doctor and candidate of sciences (engineering science). Approved by the Order No 406 from 17.03.2020.

Current Issue

No. 97 (2024)

Published: 2024-09-30

Our journal is an open access which means that all content is freely available without charge to the user or his/her institution in accordance with a Creative Commons Attribution 4.0 International License. In spite of being open access, the journal does not charge authors for publication.

Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia

About the Journal

Announcements

Recognition as Category A Journal

Current Issue

Telecommunication, navigation, radar systems, radiooptics and electroacoustics

Mathematical Model of Shifted Time of Combined Signal as Part of Fragments with Linear and Quadratic Frequency Modulation

Mathematical Model Algorithm and Experimental Study of Accuracy Measurement of Deviation Frequency of LFM Signal With Low Spectral Power Density

One-Bit Spectrum Sensing Peculiarities

Experimental Study of Horn Influence on Sound Ranger Sensitivity

Mathematical Modeling the Electrical Impedance of Piezoceramic Disk Oscillating in Wide Frequency Range (Part 2. Medium Frequencies)

Radioelectronics Medical Technologies

Neural Networks Detection of Low-Amplitude Components on ECG Using Modified Wavelet Transform

Functional Electronics. Micro- and Nanoelectronic Technology

Scattering of Electromagnetic Waves by Loss and Gain Systems of Dielectric Resonators

Computing methods in radio electronics

Advanced Edge Detection Techniques for Enhanced Diabetic Retinopathy Diagnosis Using Machine Learning

Functional Electronics

Method for Detecting Small Aerial Objects Appearing in Field of View in Controlled Part of Celestial Sphere in Infrared Range

Language

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