Hojatian, H., Nadal, J., Frigon, J.-F. & Leduc-Primeau, F. (2022). Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning. IEEE Communications Letters, 26(5), 1042-1046. Tiré de https://doi.org/10.1109/LCOMM.2022.3157161
Répertoire des expertises
Leduc-Primeau, François

Répertoire des expertises
Leduc-Primeau, François
Répertoire des expertises
Publications par type
Article de revue (16)
Communication de conférence (25)
Livre
Chapitre de livre (2)
Brevet (2)
Rapport
Thèse (2)
Ensemble de données
Ressource pédagogique
Image
Enregistrement audio
Enregistrement vidéo
Autre
François Leduc-Primeau (47)
- Articles de revue (16)
- 2022
Article de revue Article de revue Kern, J., Dupraz, E., Aissa-El-bey, A., Varshney, L.R. & Leduc-Primeau, F. (2022). Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors, 22(3), 20 pages. Tiré de https://doi.org/10.3390/s22030853Article de revue El-Sayegh, B., Dumoulin, C., Ali, M., Assaf, H., De Jong, J., Sawan, M. & Leduc-Primeau, F. (2022). Portable Dynamometer-Based Measurement of Pelvic Floor Muscle Force. IEEE Journal of Translational Engineering in Health and Medicine, 11, 44-53. Tiré de https://doi.org/10.1109/JTEHM.2022.3223258
- 2021
Article de revue Zarif, N.E., Montazeri, L., Leduc-Primeau, F. & Sawan, M. (2021). Mobile-Optimized Facial Expression Recognition Techniques. IEEE Access, 9, 101172-101185. Tiré de https://doi.org/10.1109/ACCESS.2021.3095844Article de revue Dupraz, E. & Leduc-Primeau, F. (2021). Noisy density evolution with asymmetric deviation models. IEEE Transactions on Communications, 69(3), 1403-1416. Tiré de https://doi.org/10.1109/TCOMM.2020.3039856Article de revue Hojatian, H., Nadal, J., Frigon, J.-F. & Leduc-Primeau, F. (2021). Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. IEEE Transactions on Wireless Communications, 20(11), 7086-7099. Tiré de https://doi.org/10.1109/TWC.2021.3080672
- 2020
Article de revue Yaoumi, M., Dupraz, E., Leduc-Primeau, F. & Guilloud, F. (2020). Energy optimization of quantized min-sum decoders for protograph-based LDPC codes [Annales des Telecommunications]. Annals of Telecommunications, 75(11-12), 615-621. Tiré de https://doi.org/10.1007/s12243-020-00804-0Article de revue Nadal, J., Leduc-Primeau, F., Nour, C.A. & Baghdadi, A. (2020). Overlap-Save FBMC Receivers. IEEE Transactions on Wireless Communications, 19(8), 5307-5320. Tiré de https://doi.org/10.1109/TWC.2020.2991995
- 2018
Article de revue Condo, C., Giard, P., Leduc-Primeau, F., Sarkis, G. & Gross, W.J. (2018). A 9.52 dB NCG FEC Scheme and 162 b/Cycle Low-Complexity Product Decoder Architecture. IEEE Transactions on Circuits and Systems I: Regular Papers, 65(4), 1420-1431. Tiré de https://doi.org/10.1109/TCSI.2017.2745902Article de revue Leduc-Primeau, F., Kschischang, F.R. & Gross, W.J. (2018). Modeling and Energy Optimization of LDPC Decoder Circuits With Timing Violations. IEEE Transactions on Communications, 66(3), 932-946. Tiré de https://doi.org/10.1109/TCOMM.2017.2778247
- 2017
Article de revue Ardakani, A., Leduc-Primeau, F., Onizawa, N., Hanyu, T. & Gross, W.J. (2017). VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25(10), 2688-2699. Tiré de https://doi.org/10.1109/TVLSI.2017.2654298
- 2016
Article de revue Boga, K., Leduc-Primeau, F., Onizawa, N., Matsumiya, K., Hanyu, T. & Gross, W.J. (2016). A Generalized Stochastic Implementation of the Disparity Energy Model for Depth Perception. Journal of Signal Processing Systems, 90(5), 709-725. Tiré de https://doi.org/10.1007/s11265-016-1197-3Article de revue Hemati, S., Leduc-Primeau, F. & Gross, W.J. (2016). A Relaxed Min-Sum LDPC Decoder With Simplified Check Nodes. IEEE Communications Letters, 20(3), 422-425. Tiré de https://doi.org/10.1109/LCOMM.2016.2517142Article de revue Leduc-Primeau, F., Gripon, V., Rabbat, M.G. & Gross, W.J. (2016). Fault-Tolerant Associative Memories Based on c-Partite Graphs. IEEE Transactions on Signal Processing, 64(4), 829-841. Tiré de https://doi.org/10.1109/TSP.2015.2489600
- 2013
Article de revue Leduc-Primeau, F., Hemati, S., Mannor, S. & Gross, W.J. (2013). Relaxed Half-Stochastic Belief Propagation. IEEE Transactions on Communications, 61(5), 1648-1659. Tiré de https://doi.org/10.1109/TCOMM.2013.021913.120149
- 2012
Article de revue Leduc-Primeau, F., Hemati, S., Mannor, S. & Gross, W.J. (2012). Dithered Belief Propagation Decoding. IEEE Transactions on Communications, 60(8), 2042-2047. Tiré de https://doi.org/10.1109/TCOMM.2012.050812.110115A
- 2022
- Communications de conférence (25)
- 2022
Communication de conférence Kern, J., Henwood, S., Mordido, G., Dupraz, E., Aissa-El-Bey, A., Savaria, Y. & Leduc-Primeau, F. (2022). MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. Communication présentée à IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) - Intelligent Technology in the Post-Pandemic Era, Incheon, South Korea (p. 62-65). Tiré de https://doi.org/10.1109/aicas54282.2022.9869978Communication de conférence Dermont, D.B., Nadal, J. & Leduc-Primeau, F. (2022). Single-Minimum LDPC Decoding Offset Optimization Methods. Communication présentée à 17th Canadian Workshop on Information Theory (CWIT 2022), Ottawa, CANADA (p. 21-26). Tiré de https://doi.org/10.1109/cwit55308.2022.9817664Communication de conférence Zhang, Y., Savaria, Y., Zhao, S., Mordido, G., Sawan, M. & Leduc-Primeau, F. (2022). Tiny CNN for Seizure Prediction in Wearable Biomedical Devices. Communication présentée à 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022), Glasgow, United Kingdom (p. 1306-1309). Tiré de https://doi.org/10.1109/EMBC48229.2022.9872006
- 2021
Communication de conférence Kern, J., Dupraz, E., Aissa-El-Bey, A. & Leduc-Primeau, F. (2021). Improving the energy-efficiency of a Kalman filter using unreliable memories. Communication présentée à IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Ont. (p. 5345-5349). Tiré de https://doi.org/10.1109/ICASSP39728.2021.9413430Communication de conférence Dupraz, E., Varshney, L.R. & Leduc-Primeau, F. (2021). Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. Communication présentée à IEEE Information Theory Workshop (ITW 2021), Kanazawa, Japan (5 pages). Tiré de https://doi.org/10.1109/ITW48936.2021.9611431Communication de conférence Nadal, J., Brown, S., Dupraz, E. & Leduc-Primeau, F. (2021). Towards an Accurate High-Level Energy Model for LDPC Decoders. Communication présentée à 11th International Symposium on Topics in Coding (ISTC 2021), Montreal, Qc, Canada (6 pages). Tiré de https://doi.org/10.1109/ISTC49272.2021.9594187
- 2020
Communication de conférence Nadal, J., Fiorentino, M., Dupraz, E. & Leduc-Primeau, F. (2020). A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder. Communication présentée à 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, Qc, Canada (p. 263-266). Tiré de https://doi.org/10.1109/NEWCAS49341.2020.9159808Communication de conférence Henwood, S., Leduc-Primeau, F. & Savaria, Y. (2020). Layerwise noise maximisation to train low-energy deep neural networks. Communication présentée à 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2020), Genova, Italy (p. 271-275). Tiré de https://doi.org/10.1109/AICAS48895.2020.9073854Communication de conférence Hojatian, H., Ha, V.N., Nadal, J., Frigon, J.-F. & Leduc-Primeau, F. (2020). RSSI-Based Hybrid Beamforming Design with Deep Learning. Communication présentée à IEEE International Conference on Communications (ICC 2020), Dublin, Ireland (6 pages). Tiré de https://doi.org/10.1109/ICC40277.2020.9149321
- 2019
Communication de conférence Yaoumi, M., Leduc-Primeau, F., Dupraz, E. & Guilloud, F. (2019). Optimization of protograph LDPC codes based on high-level energy models. Communication présentée à 16th International Symposium on Wireless Communication Systems, (ISWCS 2019), Oulu, Finland (p. 6-10). Tiré de https://doi.org/10.1109/ISWCS.2019.8877353Communication de conférence Hacene, G.B., Leduc-Primeau, F., Soussia, A.B., Gripon, V. & Gagnon, F. (2019). Training modern deep neural networks for memory-fault robustness. Communication présentée à IEEE International Symposium on Circuits and Systems (ISCAS 2019), Sapporo, Japan (5 pages). Tiré de https://doi.org/10.1109/ISCAS.2019.8702382
- 2018
Communication de conférence Nadal, J., Leduc-Primeau, F., Nour, C.A. & Baghdadi, A. (2018). A Block FBMC Receiver Designed for Short Filters. Communication présentée à IEEE International Conference on Communications (ICC 2018), Kansas City, MO (6 pages). Tiré de https://doi.org/10.1109/ICC.2018.8422215Communication de conférence Dupraz, E., Leduc-Primeau, F. & Gagnon, F. (2018). Low-Latency LDPC Decoding Achieved by Code and Architecture Co-Design. Communication présentée à International Symposium on Turbo Codes & Iterative Information Processing (ISTC 2018), Hong Kong, Chine. Tiré de https://doi.org/10.1109/ISTC.2018.8625276
- 2017
Communication de conférence Vialatte, J.-C. & Leduc-Primeau, F. (2017). A Study of Deep Learning Robustness Against Computation Failures. Communication présentée à 9th International Conference on Advanced Cognitive Technologies and Applications, Athens, Greece (p. 65-68). Tiré de http://www.thinkmind.org/index.php?view=article&articleid=cognitive_2017_5_30_48004
- 2016
Communication de conférence Leduc-Primeau, F. & Gross, W.J. (2016). Finite-length quasi-synchronous LDPC decoders. Communication présentée à 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France (p. 325-329). Tiré de https://doi.org/10.1109/ISTC.2016.7593130Communication de conférence Ardakani, A., Leduc-Primeau, F. & Gross, W.J. (2016). Hardware implementation of FIR/IIR digital filters using integral stochastic computation. Communication présentée à IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China (p. 6540-6544). Tiré de https://doi.org/10.1109/ICASSP.2016.7472937Communication de conférence Condo, C., Leduc-Primeau, F., Sarkis, G., Giard, P. & Gross, W.J. (2016). Stall pattern avoidance in polynomial product codes. Communication présentée à IEEE Global Conference on Signal and Information Processing (GlobalSIP 2016), Washington, D.C. (p. 699-702). Tiré de https://doi.org/10.1109/GlobalSIP.2016.7905932Communication de conférence Ardakani, A., Leduc-Primeau, F., Onizawa, N., Hanyu, T. & Gross, W.J. (2016). VLSI implementation of deep neural networks using integral stochastic computing. Communication présentée à 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France (p. 216-220). Tiré de https://doi.org/10.1109/ISTC.2016.7593108
- 2015
Communication de conférence Leduc-Primeau, F., Kschischang, F.R. & Gross, W.J. (2015). Energy optimization of LDPC decoder circuits with timing violations. Communication présentée à IEEE International Conference on Communications (ICC 2015), London, UK (p. 412-417). Tiré de https://doi.org/10.1109/ICC.2015.7248356Communication de conférence Boga, K., Onizawa, N., Leduc-Primeau, F., Matsumiya, K., Hanyu, T. & Gross, W.J. (2015). Stochastic implementation of the disparity energy model for depth perception. Communication présentée à IEEE Workshop on Signal Processing Systems (SiPS 2015), Hangzhou, China (6 pages). Tiré de https://doi.org/10.1109/SiPS.2015.7344982
- 2014
Communication de conférence Leduc-Primeau, F., Gripon, V., Rabbat, M.G. & Gross, W.J. (2014). Cluster-based associative memories built from unreliable storage. Communication présentée à IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy (p. 8370-8374). Tiré de https://doi.org/10.1109/ICASSP.2014.6855234
- 2012
Communication de conférence Leduc-Primeau, F. & Gross, W.J. (2012). Faulty Gallager-B decoding with optimal message repetition. Communication présentée à 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton 2012), Monticello, IL (p. 549-556). Tiré de https://doi.org/10.1109/Allerton.2012.6483266Communication de conférence Leduc-Primeau, F., Raymond, A.J., Giard, P., Cushon, K., Thibeault, C. & Gross, W.J. (2012). High-throughput LDPC decoding using the RHS algorithm. Communication présentée à Conference on Design and Architectures for Signal and Image Processing, Karlsruhe, Germany (6 pages). Tiré de https://ieeexplore.ieee.org/document/6385380
- 2010
Communication de conférence Leduc-Primeau, F., Hemati, S., Mannor, S. & Gross, W.J. (2010). Lowering Error Floors Using Dithered Belief Propagation. Communication présentée à IEEE Global Telecommunications Conference (GLOBECOM 2010), Miami, FL (p. 699-702). Tiré de https://doi.org/10.1109/GLOCOM.2010.5683799
- 2009
Communication de conférence Leduc-Primeau, F., Hemati, S., Gross, W.J. & Mannor, S. (2009). A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes. Communication présentée à IEEE Global Telecommunications Conference (GLOBECOM 2009), Honolulu, HI (6 pages). Tiré de https://doi.org/10.1109/GLOCOM.2009.5425510
- 2022
- Chapitres de livre (2)
- 2019
Chapitre de livre Leduc-Primeau, F., Hemati, S., Gaudet, V.C. & Gross, W.J. (2019). Stochastic Decoding of Error-Correcting Codes. Dans W.J. Gross & V.C. Gaudet (édit.), Stochastic Computing: Techniques and Applications (p. 201-215). Cham: Springer International Publishing. Tiré de https://doi.org/10.1007/978-3-030-03730-7_11
- 2015
Chapitre de livre Leduc-Primeau, F., Gaudet, V.C. & Gross, W.J. (2015). Stochastic Decoders for LDPC Codes. Dans C. Chavet & P. Coussy (édit.), Advanced Hardware Design for Error Correcting Codes (p. 105-128). Springer. Tiré de https://doi.org/10.1007/978-3-319-10569-7_6
- 2019
- Brevets (2)
- 2014
Brevet Gross, W.J., Leduc-Primeau, F., Hemati, S. & Mannor, S. (2014). Method and system for decoding (Brevet n° US 8898537). Tiré de https://patents.google.com/patent/US8898537Brevet Gross, W.J., Hemati, S., Mannor, S., Naderi, A. & Leduc-Primeau, F. (2014). Method and system for decoding (Brevet n° US 8677227). Tiré de https://patents.google.com/patent/US8677227
- 2014
- Thèses (2)
- 2016
Thèse Leduc-Primeau, F. (2016). Designing energy-efficient systems by exploiting error-correction codes (Thèse de doctorat, McGill University, Montréal, Québec). Tiré de http://digitool.Library.McGill.CA:80/R/-?func=dbin-jump-full&object_id=143580&silo_library=GEN01
- 2010
Thèse Leduc-Primeau, F. (2010). A relaxed half-stochastic decoding algorithm for LDPC codes (Mémoire de maîtrise, McGill University, Montréal, Québec). Tiré de http://digitool.Library.McGill.CA:80/R/-?func=dbin-jump-full&object_id=86774&silo_library=GEN01
- 2016