Signal Processing

This dataset corresponds to the near field (NF) measurements of a 70 cm diameter offset reflector antenna, fed with a circularly polarized helix antenna, working at 4650 MHz [1,2].

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Location awareness is vital in next generation (xG) wireless networks to enable different use cases, including location-based services (LBSs) and efficient network management. However, achieving the service level requirements specified by the 3rd Generation Partnership Project (3GPP) is challenging.

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1012 Views

Sensors (VSA001) are used to capture the vibration signals on the bearing (LDK UER20), and a sampling frequency is 25.6 KHz. Samples are collected by a interval of 60 seconds, the length of each sampling is 0.1 seconds, and each sample includes 2560 signals. Multiple sets of vibration signals in normal condition are collected at various time intervals to facilitate model fine-tuning, with a representation of the practical operating conditions. For ease of use, the data file format is .csv.

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328 Views

This paper presents a method for effectively characterizing the dielectric permittivity of nematic liquid crystals across a broad frequency range. These materials show significant potential for reconfigurable devices operating in microwave and millimeter-wave frequencies. To achieve this goal, an additive manufacturing technique is used to create a microstrip line that can be filled with liquid that acts as its substrate. The liquid crystal is then biased to modulate its permittivity.

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41 Views

Objective. Currently, few non-invasive measures exist for directly measuring spinal sensorimotor networks. Electrospinography (ESG) is one non-invasive method but is primarily used to measure evoked responses or for monitoring the spinal cord during surgery. Our objectives for collecting this dataset were to evaluate the feasibility of ESG to measure spinal sensorimotor networks by determining spatiotemporal and functional connectivity changes during single-joint movements at the spinal and cortical levels.

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502 Views

<p>This dataset offers a unique compilation of AC power consumption signals from four different computing devices, encompassing a variety of software applications. Each entry in the dataset meticulously records the intricate fluctuations in power usage as specific software programs are initiated and terminated, providing a 40-second window into the energy profile of each application. With a high-resolution sampling rate of 44100Hz, the dataset captures the nuanced energy demands placed on the electrical infrastructure, conforming to the 220V, 50Hz standard.

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333 Views

STP dataset is a dataset for Arabic text detection on traffic panels in the wild. It was collected from Tunisia in “Sfax” city, the second largest Tunisian city after the capital. A total of 506 images were gathered through manual collection one by one, with each image energizing Arabic text detection challenges in natural scene images according to real existing complexity of 15 different routes in addition to ring roads, roundabouts, intersections, airport and highways.

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173 Views

In this paper, we investigate the feasibility of THz

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77 Views

This synthetic dataset or phantom consists of 3 jpg format databases, in the two-dimensional (2-D) domain, which are identified as follows:

 

DB1: Ground Truth

 

DB2: Speckle noise with zero mean and 0.005 standard deviation

 

DB3: Speckle noise with zero mean and 0.05 standard deviation

 

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69 Views

Gas monitoring plays a crucial role in our intelligent societies. Thus we build those stepwise-collected data for gas concentration modeling in dynamic setting which can boost training data collection. First column is time, you have 8 columns for different sensors, including GM402B, GM702B, GM512B, GM302B, MICS5914, MICS5914, MICS4514, and MICS4514. The remaining 3 columns is recorded as the flow rate, which the flow rate of methane and the oxygen-nitrogen mixture is read as L/min, while hydrogen is read as mL/min.

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180 Views

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