Over the past few years, there has been notable advancement in the field of Quantified Gait Analysis (QGA), thanks to machine learning techniques. QGA and gait prediction are areas where Deep learning (DL) techniques are gaining popularity. There has been a significant amount of attention from the scientific community on the application of gait ana...
We investigate in this paper how to optimize the number of iterations required for sliding window decoding. The aim of this study is to reduce decoding complexity and overcome the phenomenon of decoder blocking. We propose a new design of SC-LDPC codes based on some 5G short LDPC codes to reduce decoding complexity. Simulation results demonstrate a...
Given the growing dependence on medical imaging, there is a significant requirement for automated report generation, which can save the radiologist's time and reduce the possibility of diagnostic errors. Existing approaches face various difficulties, including insufficient professionalism, a variety of diseases, and fluency in reports. These proble...
A recent original line of research in time--frequency analysis has shifted the interest in energy maxima toward zeros.Initially motivated by the intriguing uniform spread of the zeros of the spectrogram of white noise, it has led to fruitful theoretical developments combining probability theory, complex analysis and signal processing.In this vein, ...
We consider the use of optical wireless data transmission from the medical nodes in wireless body-area networks (WBANs) for monitoring a patient’s vital signs. To investigate efficient medium-access control (MAC) protocols, we contrast the two developed standards of IEEE 802.15.6 and IEEE 802.15.7 from the points of view of energy efficiency and la...
We consider the application of a machine-learning (ML)-based method to the demodulation of the received signal in underwater wireless optical communication (UWOC) links. This approach is justified when the underwater optical channel is subject to strong variations due to various phenomena such as pointing errors and turbulences, which directly impa...
Vibravox is a dataset compliant with the General Data Protection Regulation (GDPR) containing audio recordings using five different body-conduction audio sensors : two in-ear microphones, two bone conduction vibration pickups and a laryngophone. The data set also includes audio data from an airborne microphone used as a reference. The Vibravox corp...
Increasing the parallelism of a turbo decoder significantly constrains the inherently recursive decoding algorithm and limits its ability to efficiently achieve high decoding throughputs and to lower latency. This is partly due to the interleavers that impose precedence constraints when exchanging extrinsic information between the constituent decod...
Light Field Image (LFI) has garnered remarkable interest and fascination due to its burgeoning significance in immersive applications. Since LFIs may be distorted at various stages from acquisition to visualization, Light Field Image Quality Assessment (LFIQA) is vitally important to monitor the potential impairments of LFI quality. The first contr...
In this paper, we present an optimization methodology for reducing the number of sensors in an existing monitoring network. These sensors measure the concentration of pollutant gas in the air, in order to estimate the position and intensity of a pollutant source. In a Hierarchical Agglomerative Clustering (HAC) framework we aim to regroup sensors o...
