Digital signal processing
Synthetic Digitally Modulated Signal Datasets for Automatic Modulation Classification contain CSPB.ML.2018 and CSPB.ML.2022, two high-quality communication signal datasets with eight modulation types: BPSK, QPSK, 8-PSK, pi/4-DQPSK, MSK, 16-QAM, 64-QAM, and 256-QAM. There are 14,000 signals of each modulation type in each dataset for a total of 112,000 signals per dataset. The two datasets are useful for signal processing testing, neural network (NN) training, initial NN testing, and out-of-distribution NN testing as signal generation parameters differ between the two datasets.
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This data set contains information on cardiopulmonary signals that were recorded simultaneously. The signals are separated into two folders, one titled heart sounds and the other lung sounds. In addition, two matlab programs are included, one with which the signals can be recorded and another to make graphs in time and frequency. It also has a pdf file that details the nomenclature of the signals.
This data set can be useful for various signal processing algorithms: filtering, PCA, LDA, ICA, CNN, etc.
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More than 85% of traffic utilization via mobile phones are consumed in the urban area, and most of the traffic is used for downloading. Improving the throughput in LTE for 1 user equipment (UE) in cities is an urgent problem. The collected data is intended to study a dependence of the KPI mobile base station and neighboring from installation extra technology. This study will support the development of methods for comparing traffic utilization of urban area and carry out recommendations for the Channel Quality Indicator (CQI) increases.
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Ultrasonic flowmeters that use transit-time ultrasonic transducers face measurement errors due to ``crosstalk,'' whereby the working signal travels through the pipe wall and couplings, interfering with the signal from the fluid. Although various procedures have been proposed to solve the issue of crosstalk, they're limited to low-frequency ranges, or they are not effective in high-pressure environments.
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Electroretinography is a non-invasive electrophysiological method standardized by the International Society for Clinical Electrophysiology of Vision (ISCEV). Electroretinography has been used for the clinical application and standardization of electrophysiological protocols for diagnosing the retina since 1989. Electroretinography become fundamental ophthalmological research method that may assesses the state of the retina. To transfer clinical practice to patients the establishment of standardized protocols is an important step.
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Video is a sequence of pictures, which are taken by camera at a short interval of time. A picture in video is called as frame, and the number of frames per second is defined as the frame rate, which denotes the temporal resolution of video. With the higher frame rate, the video contains the more details, such as to the improvement of visual quality for human interpretation or the fine representation for automatic machine perception. A high frame rate relies on the hardware configuration of camera, the higher the frame rate, the more expensive hardware devices.
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*** The paper published on Multimedia Tools and Applications (Springer) - 2024 ***
*** Title: "SPRITZ-PS: Vlaidation of Synthetic Face Images Using A Large Dataset of Printed Docuemnts"***
*** Authors: Ehsan Nowroozi, Yoosef Habibi, and Mauro Conti ***
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Data using X-band radar and small Styrofoam sphere target were mesured. The measurement system transmitted a linear frequency modulation waveform that had initial carrier frequency 9.35 GHz, stepped carrier frequency interval 0.2 MHz, solid state power amplifier (SSPA) power 50 W, bandwidth 5 MHz, polarization of HH, pulse-repetition interval 0.4 ms, pulse-processing interval 16 ms, scan-repetition interval 0.75 s, and scan-processing interval 15 s.
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