Jacob Gonzalez-Villagomez, Esau Gonzalez-Villagomez, Rene J. R. Mayer, Carlos Rodriguez-Donate, Kanglin Xing
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引用次数: 0
Abstract
The proposal of new signal representation techniques in time-frequency domain can improve the visualization and acquisition of frequency components in various applications. In this sense, this article presents a novel and different representation of the short-time Fourier transform (STFT) spectrogram for signal analysis, based on changing the visualization from a linear to a cylindrical representation by means of a linear transformation. Simulations show that this new representation focuses on the accuracy of the frequency components rather according to the angular position in which they occur; on the other hand it is easier to analyze high-frequency components than those of low frequency. Finally, it is visually easier to identify fixed components along the test in this representation in a wide window STFT analysis.
期刊介绍：
Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews.
Scope
As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below.
Antennas and Propagation
Biomedical and Bioinspired Technologies, Signal Processing and Applications
Control Engineering
Electromagnetism: Theory, Materials and Devices
Electronic Circuits and Systems
Image, Video and Vision Processing and Applications
Information, Computing and Communications
Instrumentation and Measurement
Microwave Technology
Optical Communications
Photonics and Opto-Electronics
Power Electronics, Energy and Sustainability
Radar, Sonar and Navigation
Semiconductor Technology
Signal Processing
MIMO
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