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François Leduc-Primeau (47)

  • Articles de revue (16)
    • 2022
      • Article de revue
        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
      • 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/s22030853
      • Article 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.2021.3095844
      • Article 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.2020.3039856
      • Article 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/s12243-020-00804-0
      • Article 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.2017.2745902
      • Article 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/s11265-016-1197-3
      • Article 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.2016.2517142
      • Article 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
    • 2012
  • 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/aicas54282.2022.9869978
      • Communication 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/cwit55308.2022.9817664
      • Communication 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/ICASSP39728.2021.9413430
      • Communication 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/ITW48936.2021.9611431
      • Communication 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/NEWCAS49341.2020.9159808
      • Communication 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/AICAS48895.2020.9073854
      • Communication 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.2019.8877353
      • Communication 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.2018.8422215
      • Communication 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
    • 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.2016.7593130
      • Communication 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.2016.7472937
      • Communication 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.2016.7905932
      • Communication 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.2015.7248356
      • Communication 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.2012.6483266
      • Communication 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
  • 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
  • Brevets (2)
  • Thèses (2)