90 citations · 156 across the 8 of their papers we have counts for
9 papers
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning
Delaram Jarchi, Javier Andreu-Perez, Mehrin Kiani +4
Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomnography (PSG) has long been used for detection of various sleep disorders. In th…
Vision-based techniques for gait recognition
Tracey K. M. Lee, Mohammed Belkhatir, Saeid Sanei
Global security concerns have raised a proliferation of video surveillance devices. Intelligent surveillance systems seek to discover possible threats automatically and raise alert…
Variants of Partial Update Augmented CLMS Algorithm and Their Performance Analysis
Vahid Vahidpour, Amir Rastegarnia, Azam Khalili +2
Naturally complex-valued information or those presented in complex domain are effectively processed by an augmented complex least-mean-square (ACLMS) algorithm. In some application…
Multiscale Fluctuation-based Dispersion Entropy and its Applications to Neurological Diseases
Hamed Azami, Steven E. Arnold, Saeid Sanei +4
Fluctuation-based dispersion entropy (FDispEn) is a new approach to estimate the dynamical variability of the fluctuations of signals. It is based on Shannon entropy and fluctuatio…
Partial Diffusion Kalman Filtering
Vahid Vahidpour, Amir Rastegarnia, Azam Khalili +2
In conventional distributed Kalman filtering, employing diffusion strategies, each node transmits its state estimate to all its direct neighbors in each iteration. In this paper we…
Partial Diffusion Recursive Least-Squares for Distributed Estimation under Noisy Links Condition
Vahid Vahidpour, Amir Rastegarnia, Azam Khalili +1
Partial diffusion-based recursive least squares (PDRLS) is an effective method for reducing computational load and power consumption in adaptive network implementation. In this met…
Partial-Diffusion Least Mean-Square Estimation Over Networks Under Noisy Information Exchange
Vahid Vadidpour, Amir Rastegarnia, Azam Khalili +1
Partial diffusion scheme is an effective method for reducing computational load and power consumption in adaptive network implementation. The Information is exchanged among the nod…
Performance Analysis of Incremental LMS over Flat Fading Channels
Azam Khalili, Amir Rastegarnia
We study the effect of fading in the communication channels between sensor nodes on the performance of the incremental least mean square (ILMS) algorithm, and derive steady state p…
A Unified Approach to Sparse Signal Processing
F. Marvasti, A. Amini, F. Haddadi +6
A unified view of sparse signal processing is presented in tutorial form by bringing together various fields. For each of these fields, various algorithms and techniques, which hav…