Signal Processing
Bistatic MIMO Radar Sensing
This dataset includes the synthetic aperture measurement data and code accompanying the publication "Bistatic MIMO Radar Sensing of Specularly Reflecting Surfaces for Wireless Power Transfer" [1].
Description:
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493 Views
The main objective of this project is to design and develop a collaborative framework which facilitates real-time tracking of a target person even when GPS signal is not available, while collecting motion data to infer his or her lifestyle and health status. The framework orchestrates a wide range of technologies such as localization technologies, machine learning and AI, sensor data analytics and cloud computing. The overall framework design also takes into consideration the culture, lifestyles, behaviours and infrastructures of ASEAN countries.
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578 Views
In this paper, we study the advantages of improper Gaussian signaling (IGS) with the existence of hardware impairments (HWI) and imperfect successive interference cancellation (SIC) in the downlink two-user power-domain non-orthogonal multiple access (PD-NOMA) systems. We first provide the input-output relationships for the MIMO system with HWIs and then derive the rate expressions for each user. The improper signals are assumed to be generated by widely linear precoding (WLP), transmitted under the PD-NOMA scheme, and in the context of imperfect SIC.
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23 Views
The formation and changes of the pulse wave areaffected by the functional status of the heart, blood, and arterial vessels. The pulse signal covers pathological information in the cardiovascular system, and the doctor of traditional Chinese medicine (TCM) can diagnose diseases by feeling the pulse. The diagnosis of diseases through feeling the pulse of TCM primarily relies on the doctor’s feelings and subjective experience, and it lacks objectified data.
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2119 Views
This dataset is made of the Channel Impulse Response (CIR) data collected in 9 different environments in Ghent city, Belgium. These environments include:
1. Fourth floor at iGent Tower in the premises of Gent University
2. Zwijnaarde Open Area
3. Stadhuis Street and Nearby
4. Zuid Mall
5. Portus Ganda
6. Sint-Pieters Railway Station
7. Krook library
8. Citadel Park
9. Graffiti Straat
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661 Views
Cars, mobile phones, and smart home devices already provide automatic speech recognition (ASR) by default. However, human machine interfaces (HMI) in industrial settings, as opposed to consumer settings, operate under different conditions and thus, present different design challenges. Voice control, arguably the most natural form of communication, has the potential to shorten complex command sequences and menu structures in order to directly execute a final command.
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558 Views
This is our experimental interface and environment. the algorithm's performance was evaluated using the UTIAS multi-robot CL and mapping dataset provided by Leung et al.
Each robot was equipped with a wheel encoder and a monocular camera, measuring linear and rotational velocities at 67 Hz and capturing distance and orientation measurements with other robots and landmarks. The position and orientation were obtained from a 10-camera Vicon motion capture system at 100 Hz, with a positional accuracy of approximately 1 mm.
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55 Views
This data contains fatigue and non-fatigue sEMG data of four motions shoulder flexion (SF), shoulder abduction (SA) and elbow extension (EE) and wrist flexion & extension (WFE).
The file has two subfiles: WFE and shoulders. The "shoulders" has sEMG data of three motions while the WFE subfile has sEMG data of different adjecent matrices. The feature matrices are processed by Boruta.
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96 Views
The proposed GAT-based channel estimation method examines the performance of the DtS IoT networks for different RIS configurations to solve the challenging channel estimation problem. It is shown that the proposed GAT both demonstrates a higher performance with increased robustness under changing conditions and has lower computational complexity compared to conventional deep learning methods.
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831 Views
The accuracy and reliability of an Ultra- WideBand (UWB) Indoor Positioning System (IPS) are compromised owing to the positioning error caused by the Non-Line-of-Sight (NLoS) signals. To address this, Machine Learning (ML) has been employed to classify Line-of-Sight (LoS) and NLoS components. However, the performance of ML algorithms degrades due to the disproportion of the number of LoS and NLoS signal components. A Weighted Naive Bayes (WNB) algorithm is proposed in this paper to mitigate this issue.
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337 Views