关注
Dr.-Ing. Sanam Moghaddamnia
Dr.-Ing. Sanam Moghaddamnia
Türkisch-Deutsche Universität
在 tau.edu.tr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Scattered pilot-based channel estimation for channel adaptive FBMC-OQAM systems
M Fuhrwerk, S Moghaddamnia, J Peissig
IEEE Transactions on Wireless Communications 16 (3), 1687-1702, 2017
602017
Efficiency of deep neural networks for joint angle modeling in digital gait assessment
J Conte Alcaraz, S Moghaddamnia, J Peissig
EURASIP Journal on Advances in Signal Processing 2021 (1), 10, 2021
312021
A hybrid optimization approach for interference alignment in multi-user MIMO relay networks under different CSI
C Le, S Moghaddamnia, JK Peissig
IEEE Transactions on Wireless Communications 16 (12), 7834-7847, 2017
112017
On the performance of alamouti scheme in 2 x 2 mimo-fbmc systems
C Le, S Moghaddamnia, J Peissig
ICOF 2016; 19th International Conference on OFDM and Frequency Domain …, 2016
102016
Interference reduction method for downhole telemetry systems
S Moghaddamnia, F Zheng, IB Brahim, W Emmerich, C Hansen, JU Bruns
US Patent 8,942,330, 2015
102015
Monitoring the rehabilitation progress using a DCNN and kinematic data for digital healthcare
JC Alcaraz, S Moghaddamnia, M Penner, J Peissig
2020 28th European Signal Processing Conference (EUSIPCO), 1333-1337, 2021
92021
A dictionary learning based approach for gait classification
N Poschadel, S Moghaddamnia, JC Alcaraz, M Steinbach, J Peissig
2017 22nd International Conference on Digital Signal Processing (DSP), 1-4, 2017
92017
An android-based application for digital gait performance analysis and rehabilitation
JC Alcaraz, S Moghaddamnia, J Peissig
2015 17th International Conference on E-health Networking, Application …, 2015
92015
Efficiency of the memory polynomial model in realizing digital twins for gait assessment
JC Alcaraz, S Moghaddamnia, M Fuhrwerk, J Peissig
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
82019
Machine learning as digital therapy assessment for mobile gait rehabilitation
JC Alcaraz, S Moghaddamnia, N Poschadel, J Peissig
2018 IEEE 28th international workshop on Machine Learning for Signal …, 2018
82018
Deviations in frequency and mode of vibration in whole-body vibration training devices with long-term and regular use
TS Kaeding, S Moghaddamnia, M Kück, L Stein
Medical Engineering & Physics 51, 84-90, 2018
82018
Mobile quantification and therapy course tracking for gait rehabilitation
JC Alcaraz, S Moghaddamnia, J Peissig
2017 22nd International Conference on Digital Signal Processing (DSP), 1-5, 2017
72017
On the efficiency of PAPR reduction schemes deployed for DRM systems
S Moghaddamnia, A Waal, M Fuhrwerk, C Le, J Peissig
EURASIP Journal on Wireless Communications and Networking 2016, 1-11, 2016
62016
A simplified approach for autonomous quality assessment of cyclic movements
S Moghaddamnia, J Peissig, G Schmitz, AO Effenberg
2013 18th International Conference on Digital Signal Processing (DSP), 1-5, 2013
52013
Performance investigation of MMSE-based interference alignment for multiuser MIMO UWB
C Le, E Dimitrov, S Moghaddamnia, T Kaiser
2011 IEEE International Conference on Ultra-Wideband (ICUWB), 170-174, 2011
52011
Use of statistical signal properties for adaptive predistortion of high power amplifiers
S Moghaddamnia, M Fuhrwerk, J Peissig
2018 15th International Symposium on Wireless Communication Systems (ISWCS), 1-6, 2018
42018
On the efficiency of an autonomous cyclic motion grading system
S Moghaddamnia, J Peissig, G Schmitz, AO Effenberg
2014 IEEE Workshop on Statistical Signal Processing (SSP), 512-515, 2014
42014
An adaptive transmission scheme for multiuser MIMO broadcast channel in Cognitive Radio
C Le, S Moghaddamnia, J Peissig
2014 IEEE 10th International Conference on Wireless and Mobile Computing …, 2014
32014
Performance evaluation of blind source separation algorithms base on source signal statistics in convolutive mixtures
CT Le, S Moghaddamnia, C Kupferschmidt, T Kaiser
International Conference on Communications and Electronics 2010, 268-272, 2010
22010
Impact of Doppler Effect, Echo and Reverberation on the Externalization and Plausibility of Binaural Rendered Moving Sound Sources Presented via Headphones
S Li, S Moghaddamnia, J Peissig
Fortschritte der Akustik-DAGA 42, 1004-1007, 2016
12016
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