Signal Processing
This dataset contains approx. 5000 labeled images of marker on Smith Chart of Keysight VNA 9914a. Since smith chart contains "infinity" (although compensated in the device mathematically), the data from Smith Chart window pane is not apt for tuning the all-pole MW filters.
This dataset can be used to track the marker position while tuning the circuitary when considering Image Processing based Filter Tuning. Images are taken from various angles to ensure the robust behaviour and high detection accuracy.
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213 Views
Automatic Modulation Classification (AMC) is a technique used to identify signal modulations in applications like cognitive radar, software-defined radio, and electronic warfare. With future communication systems like 6G operating at higher transmission frequencies than 5G, AMC algorithms need to be more complex yet suitable for embedded devices with limited resources. Although current AMC algorithms deliver high accuracy, they require substantial computing power, making them unsuitable for such devices.
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41 Views
ImgFi converts wifi channel state information into images, improving feature extraction and achieving 99.5% accuracy in human activity recognition using only three layers of convolution. In addition to the self-test dataset, three publicly available high-quality datasets, WiAR, SAR and Widar3.0, are used. WiAR collects 16 activity-reflected WiFi signals; SAR collects WiFi signals in response to 6 actions performed by 9 volunteers over 6 days, while Widar3.0 collects 6 action signals from 5 volunteers at different locations and antenna orientations.
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1964 Views
The growth of the use of the Linux operating system in embedded systems projects brings to the spotlight essential questions about the capabilities of this operating system in real-time systems, in particular, soft real-time systems. In this context, the quantitative analysis of Linux-based embedded systems is the focus of this paper, which includes the evaluation of the latency time, jitter, and worst-case response time.
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124 Views
Radio Frequency (RF) signals transmitted by Global Navigation Satellite Systems (GNSS) are exploited as signals of opportunity in many scientific activities, ranging from sensing waterways and humidity of the terrain to the monitoring of the ionosphere. The latter can be pursued by processing the GNSS signals through dedicated ground-based monitoring equipment, such as the GNSS Ionospheric Scintillation and Total Electron Content Monitoring (GISTM) receivers.
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204 Views
This dataset includes Electromagnetic tracking streams and Bioelectric navigation streams from a phantom that are used for registration purposes. The dataset is related to the paper "Feature-Based Electromagnetic Tracking Registration Using Bioelectric Sensing".
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52 Views
Abstract—A radar signal multiparameter-based deinterleaving method is proposed in this work. Semantic information formed by the coupling of the pulse repetition interval (PRI),
radio frequency (RF), pulse width (PW), and pulse amplitude (PA) of a radar signal is used to deinterleave radar signals. A bidirectional gated recurrent unit (BGRU) is employed, and
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89 Views
Web page addresses and e-mail addresses turn into links automatically
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28 Views
SLCeleb
Here we collected data through social media such as Youtube, because the best method to obtain data from a variety of wild and diverse acoustic environments is to use a freely available source. Otherwise, manually creating such volatility would take a long time. Even after that, we will not be able to share the data collected with other researchers.
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439 Views
This dataset contains the extracted parameter data for the deep patellar tendon reflexes of four test subjects. Each subject was tapped with a reflex hammer with soft, medium, and hard taps three times. The dataset was collected by interpreting the spectrogram images from processed radar data and motion capture data.
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266 Views