Sanam Moghaddamnia

According to our database1, Sanam Moghaddamnia authored at least 12 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of four.

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Efficiency of the Memory Polynomial Model in Realizing Digital Twins for Gait Assessment.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Machine Learning as Digital Therapy Assessment for Mobile Gait Rehabilitation.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Use of Statistical Signal Properties for Adaptive Predistortion of High Power Amplifiers.
Proceedings of the 15th International Symposium on Wireless Communication Systems, 2018

2017
A Hybrid Optimization Approach for Interference Alignment in Multi-User MIMO Relay Networks Under Different CSI.
IEEE Trans. Wirel. Commun., 2017

Scattered Pilot-Based Channel Estimation for Channel Adaptive FBMC-OQAM Systems.
IEEE Trans. Wirel. Commun., 2017

A dictionary learning based approach for gait classification.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Mobile quantification and therapy course tracking for gait rehabilitation.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

2016
On the efficiency of PAPR reduction schemes deployed for DRM systems.
EURASIP J. Wirel. Commun. Netw., 2016

2015
An Android-based application for digital gait performance analysis and rehabilitation.
Proceedings of the 17th International Conference on E-health Networking, 2015

2014
An adaptive transmission scheme for multiuser MIMO broadcast channel in Cognitive Radio.
Proceedings of the IEEE 10th International Conference on Wireless and Mobile Computing, 2014

On the efficiency of an autonomous cyclic motion grading system.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

2013
A simplified approach for autonomous quality assessment of cyclic movements.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013


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