Digital signal processing

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.


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.


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.


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.


*** 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 ***



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.


Anthropometric studies focusing on facial metrics and their proportions form an important research area devoted to observations of the appearance of the human skull. Many different applications include the use of craniometry for maxillofacial reconstruction and surgery. The paper and the associated dataset explores the possibility of using selected craniometric points and associated metric to observe  spatial changes during the maxillofacial surgery treatment.  The experimental dataset includes observations of 27 individuals.


5G-NR is beginning to be widely deployed in the mmWave frequencies in urban areas in the US and around the world. Due to the directional nature of mmWave signal propagation, improving performance of such deployments heavily relies on beam management and deployment configurations.


 The respiratory includes selected files related to a  study of physiological changes recorded by wearable devices during physical exercise on a home exercise bike. It is focused on testing the effect of face masks and respirators on blood oxygen concentration, breathing frequency, and the heart rate changes.



In this study, a primary IMU-based gait dataset has been collected from 30 participants using a MOTI goniometer. This device collects movement data related to specific joints depending on the location of the device. The MOTI sensor contains an IMU consisting of an accelerometer, gyroscope, and magnetometer. Accelerometers measure acceleration the acceleration of the device, gyroscopes measure angular velocity of the device, and magnetometers measure the magnetic field of the Earth. In our study, the device was attached to arm and leg (thigh) positions.