2024

  • [C81-rfp] S. Fazal and R. M. Dansereau, “Overlapping Cervical Cell Region Segmentation,” accepted to IEEE Medical Measurements & Applications (MeMeA 2024, Eindhoven, The Netherlands), June 26–28, 2024, 6 pp.
  • [C80-rfp] A. Dey, S. Rajan and R. Dansereau, “Improved Detection of Abnormality in Grayscale Breast Thermal Images using Binary Encoding,” accepted to IEEE Medical Measurements & Applications (MeMeA 2024, Eindhoven, The Netherlands), June 26–28, 2024, 6 pp.
  • [J32-rfp] Youhao Yu and R. M. Dansereau, “MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS),” IET Signal Processing, vol. 2024, pp. 1–12, January 2024. https://doi.org/10.1049/2024/6666549

2022

  • [C79-rfp] Youhao Yu and R. M. Dansereau, “STP-DEQ-Net: A Deep Equilibrium Model Based on ISTA Method for Image Compressive Sensing,” in Proc. of 30th European Signal Processing Conference (EUSIPCO 2022, Belgrade, Serbia), August 29-September 2, 2022, pp. 2011–2015.

  • [J31-rfp] T. Lotfi Mahyari and R. M. Dansereau, “Multi-layer random walker image segmentation for overlapped cervical cells using probabilistic deep learning methods,” IET Image Processing, pp. 1-14, May 2022. https://doi.org/10.1049/ipr2.12531

  • [C78-rfp] Youhao Yu and R. M. Dansereau, “STP-Net: Semi-tensor product neural network for image compressive sensing,” in Proc. of The Seventh International Conference on Advances in Signal, Image and Video Processing (SIGNAL 2022, Venice, Italy), May 22-26, 2022, pp 7-12. 

  • [J30-rfp] Z. Ashouri, G. Wang, R. M. Dansereau, and R. deKemp, “Evaluation of wavelet kernel-based PET image reconstruction,” IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 6, no. 5, pp. 564-573, May 2022. doi: 10.1109/TRPMS.2021.3103104.

2021

  • [J29-rfp] H. Chahrour, R. Dansereau, S. Rajan, and B. Balaji, “Target detection through Riemannian geometric approach with application to drone detection,” IEEE Access, vol. 9, pp. 123950-123963, 2021. DOI: 10.1109/ACCESS.2021.3105594
  • [C77-rea] Z. Ashouri, G. Wang, R. M. Dansereau, and R. deKemp, “Multi-scale wavelet kernel-based PET reconstruction using MR side information,” accepted to 2021 Virtual IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC), October 16-23, 2021.

2020

  • [C76-rfp-op] T. Lotfi Mahyari and R. M. Dansereau, “Deep learning methods for image decomposition of cervical cells,” 2020 28th European Signal Processing Conference (EUSIPCO2020, Amsterdam, the Netherlands), 2021, pp. 1110-1114, doi: 10.23919/Eusipco47968.2020.9287435.
  • [C75-rea-poster] Z. Ashouri, C. Hunter, B. Spencer, G. Wang, R. M. Dansereau, and R. deKemp, “Kernel-based reconstruction of cardiac PET images using MR information,” 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC, Boston, USA), October 31-November 7, 2020, pp. 1-2, doi: 10.1109/NSS/MIC42677.2020.9507993.
  • [C74-rfp-op] H. Chahrour, R. Dansereau, S. Rajan, and B. Balaji, “Improved covariance matrix estimation using Riemannian geometry for beamforming applications,” IEEE Radar Conference (RadarConf’2020, Washington, USA), April 27-May 1, 2020, pp. 693-697.
  • [J28] Youhao Yu and R. M. Dansereau, “Fast reconstruction of 1D compressive sensing data using a deep neural network,” International Journal of Signal Processing Systems (IJSPS), vol. 8, no. 1, pp. 26-31, March 2020. doi: 10.18178/ijsps.8.1.26-31

2019

  • [C73-rfp-op] T. Lotfi Mahyari and R. M. Dansereau, “Deep learning methods for image segmentation containing translucent overlapped objects,” Proc. of GlobalSIP (Ottawa, Canada), November 11-14, 2019.
  • [C72-rea-poster] Z. Ashouri, C. Hunter, B. Spencer, G. Wang, R. M. Dansereau, and R. deKemp, “Dynamic PET image reconstruction using the wavelet kernel method,” 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC, Manchester, UK), October 26 – November 2, 2019.
  • [C71-poster] Z. Ashouri, C. Hunter, B. Spencer, Guobao Wang, R. Dansereau and R. deKemp, “Kernel-based dynamic cardiac PET image reconstruction of C-11-hydroxyephedrine,” poster at the Ottawa Cardiovascular Research Day, May 13, 2019.
  • [C70-poster] Z. Ashouri, C. Hunter, B. Spencer, Guobao Wang, R. Dansereau and R. deKemp, “Kernel-based dynamic cardiac PET image reconstruction of C-11-hydroxyephedrine,” poster at The 7th International Ottawa Hospital Conference (TOHS-OHC), April 12, 2019.
  • [C69-rfp-op] Z. Ashouri, C. Hunter, B. Spencer, G. Wang, R. M. Dansereau, and R. deKemp, “Kernel-based reconstruction of C-11-hydroxyephedrine cardiac PET images of the sympathetic nervous system,” Proc. of Engineering in Medicine and Biology (EMBC, Berlin, Germany), July 23-27, 2019.
  • [C68-rfp-op] H. Chahrour, R. Dansereau, S. Rajan, and B. Balaji, “Direction of arrival estimation using Riemannian mean and distance,” Proc. of IEEE Radar Conference (RadarConf’2019, Boston, USA), April 22-29, 2019.
  • [A1] M. H. Radfar, R. M. Dansereau, and W. Wong, “Speech separation using gain-adapted factorial hidden Markov models,” Computing and Research Repository (CoRR), vol. Abs/1901.07604, Jan. 2019, http://arxiv.org/abs/1901.07604

2018

  • [C67-rfp-op] H. Chahrour, S. Rajan, and R. M. Dansereau, B. Balaji, “Hybrid spread spectrum orthogonal waveforms for MIMO radar,” Proc. of IEEE Radar Conference (RadarConf’2018, Oklahoma City, USA), April 23-27, 2018.
  • [C66-rfp-pp] H. Chahrour, S. Rajan, and R. M. Dansereau, B. Balaji, “Hybrid beamforming for interference mitigation in MIMO radar,” accepted to IEEE Radar Conference (RadarConf’2018, Oklahoma City, USA), April 23-27, 2018.

2017

  • [J27-rfp] M. M. Fouad and R. M. Dansereau, “An optimized parallel order scheme of the deblocking filtering process for enhancing the performance of the HEVC standard using GPUs,” Multimedia Tools and Applications, vol. 76, no. 23, pp. 24609-24634, December 2017.
  • [J26-rfp] M. Rashid and R. M. Dansereau, “Cramer-Rao lower bound derivation and performance analysis for space-based SAR GMTI,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp. 6031-6043, November 2017.
  • [C65-rfp-op] T. Lotfi Mahyari and R. M. Dansereau, “Random walks for image segmentation containing translucent overlapped objects,” IEEE Global Conference on Signal and Information Processing (GlobalSIP, Montreal, Canada), November 14-16, 2017, pp. 45-50.
  • [C64-rfp-op] B. Surisetti and R. M. Dansereau, “Multi-modal fetal ECG extraction using multi-kernel Gaussian processes,” IEEE Global Conference on Signal and Information Processing (GlobalSIP, Montreal, Canada), November 14-16, 2017, pp. 943-947.
  • [C63-ra-op] H. Chahrour, B. Balaji, S. Rajan, and R. M. Dansereau, “Hybrid spread spectrum orthogonal waveforms for MIMO radar,” accepted to Canadian Tracking and Fusion Group Workshop (CTFG’2017, Ottawa, Canada), November 6-7, 2017.
  • [C62-rfp-op] T. Lotfi Mahyari and R. M. Dansereau, “Learning-based multilabel random walks for image segmentation containing translucent overlapped objects,” in Proc. of 40th International Conference on Telecommunications and Signal Processing (TSP, Barcelona, Spain), July 5-7, 2017, pp. 610-614, doi: 10.1109/TSP.2017.8076059.
  • [C61-rfp-op] A. Assem and R. M. Dansereau, “Compressive sensing using S-transform in pulse radar,” in Proc. of 40th International Conference on Telecommunications and Signal Processing (TSP, Barcelona, Spain), July 5-7, 2017, pp. 488-492, doi: 10.1109/TSP.2017.8076034.

2016

  • [C60-rfp-pp] A. Assem, R. M. Dansereau, “Compressive sensing in pulse radar using prior information,” accepted to International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa 2016, Aachen, Germany), September 19-22, 2016.
  • [C59-rfp-pp] A. Assem, R. M. Dansereau, and F. Ahmed, “Adaptive sub-Nyquist sampling based on Haar wavelet and compressive sensing in pulsed radar,” accepted to International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa 2016, Aachen, Germany), September 19-22, 2016.

2015

  • [J25-rfp] H. Dehghan, R. M. Dansereau, and A. D. C. Chan, “Restricted isometry property on banded block Toeplitz matrices with application to multi-channel convolutive source separation,” IEEE Transactions on Signal Processing, vol. 63, no. 21, pp. 5665-5676, November 2015.
  • [C58-rfp] A. F. Eldeken, R. M. Dansereau, M. M. Fouad, G. I. Salama, “High throughput parallel scheme for HEVC deblocking filter,” accepted to IEEE International Conference on Image Processing (Quebec City), September 27-30, 2015

2014

  • [J24-rfp] A. Onsy, M. M. Fouad, B. Shaw, and R. M. Dansereau, “A new method for monitoring gears surface failures using enhanced image registration approach,” SAE International Journal of Aerospace, vol. 7, no. 1, pp. 182-189, Sep. 2014.

2013

  • [J23-rfp] M. M. Fouad and R. M. Dansereau, “Lossless image compression using a simplified MED algorithm with integer wavelet transform,” International Journal of Image, Graphics and Signal Processing (IJIGSP), vol. 6, no. 1, pp. 18-23, Nov. 2013.
  • [C57-rfp-op] A. M. Hamadan, H. A. Aly, M. M. Fouad, and R. M. Dansereau, “A modified prediction scheme of the H.264 multiview video coding to improve the decoder performance,” accepted to IS&T/SPIE Electronic Imaging 2013: Real-Time Image and Video Processing, February 3-7, 2013.

2012

  • [J22-rfp] S. Baig, R. M. Dansereau, A. D. C. Chan, A. Remaud, and M. Bilodeau, “Cluster analysis of center-of-pressure measures,” International Journal of Electrical and Computer System (IJECS), vol. 1, no. 1, pp. 9-17, 2012. DOI: 10.11159/ijecs.2012.002
  • [J21-rfp] T. K. Helaly and R. M. Dansereau, “Toward an efficient and reliable nonlinearity measure,” IEEE Communications Letters, vol. 16, no. 11, pp. 1816-1819, November 2012.
  • [J20-rfp] M. M. Fouad, R. M. Dansereau, and A. D. Whitehead, “Geometric image registration under arbitrarily-shaped locally variant illuminations,” Signal, Image and Video Processing, vol. 6, no. 4, pp. 521-532, November 2012. doi:10.1007/s11760-010-0178-4
  • [C56-rfp-op] S. Baig, A. D. C. Chan, R. M. Dansereau, A. Remaud, and M. Bilodeau, “Performance of COP measures,” in Proc. of International Conference on Electrical and Computer Systems (ICECS’2012, Ottawa), August 22-24, pp. 194.1-194.8, 2012.
  • [C55-rfp-op] T. Ho, R. M. Dansereau, and E. Dubois, “Object removal in multi-view images using disparity layering and piecewise homography,” in Proc. of International Conference on Electrical and Computer Systems (ICECS’2012, Ottawa), August 22-24, pp. 191.1-191.8, 2012.
  • [C54-rfp-op] M. M. Fouad and R. M. Dansereau, “A lossless image compression technique by combining integer wavelet transform with a simplified MED algorithm,” in Proc. of International Conference on Electrical and Computer Systems (ICECS’2012, Ottawa), August 22-24, pp. 129.1-129.6, 2012.
  • [J19-rfp] Jie Zhu and R. M. Dansereau, “Error-resilient and error concealment 3-D SPIHT for multiple description video coding with added redundancy,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 6, pp. 855-868, June 2012.
  • [C53-rfp-op] H. Dehghan, R. M. Dansereau, and A. D. C. Chan, “Iterative blind source separation of EMG signals based on the joint domain sparsity,” accepted to Canadian Medical and Biological Engineering Conference (CMBEC35, Halifax), June 20-22, 2012.
  • [C52-poster] R. B. Wallace, R. M. Dansereau, and R. A. Goubran, “Fusion algorithm for the detection of ECG characteristic points,” poster submitted to 2012 Healthcare Support through Information Technology Enhancements Annual Research Review (hSITE 2012, Montreal), June 4-5, 2012. (Won 1st prize in poster competition)
  • [C51-rfp-op] R. B. Wallace, R. M. Dansereau, and R. A. Goubran, “Methods for the detection of ECG characteristic points,” in International Symposium on Medical Measurements and Applications (MeMeA 2012, Budapest), May 18-19, 2012.
  • [J18-rfp] M. M. Fouad, R. M. Dansereau, and A. D. Whitehead, “Image registration under illumination variations using region-based confidence weighted M-estimators,” IEEE Transactions on Image Processing, vol. 21, no. 3, pp. 1046-1060, March 2012.

2011

  • [C50-rfp-op] M. M. Fouad, R. M. Dansereau, and A. D. Whitehead, “Two-step super-resolution technique using bounded total variation and bisquare M-estimator under local illumination changes,” in Proc. of IEEE Intern. Conf. on Image Processing (ICIP’2011, Brussels), September 11-14, 2011, pp. 1381-1384.
  • [C49-rfp-pp] Junwu Zhu, R. M. Dansereau, and C. Joslin, “Perceptual noise shaping in dual-tree complex wavelet transform for image coding,” in Proc. of IEEE Intern. Conf. on Image Processing (ICIP’2011, Brussels), September 11-14, 2011, pp. 241-244.
  • [C48-rfp] M. H. Radfar, R. M. Dansereau, W.-Y. Chan, and W. Wong, “MPtracker: A new multi-pitch detection and separation algorithm for mixed speech signals,” in Proc. of IEEE Intern. Conf. on Acoustics, Speech, and Signal Processing (ICASSP’2011 Prague), May. 22-27, 2011, pp. 4468-4471.
  • [J17-rfp] T. K. Helaly, R. M. Dansereau, and M. El-Tanany, “BER performance of OFDM signals in presence of nonlinear distortion due to SSPA,” Wireless Personal Communications, vol. 64, no. 4, pp. 749-760, January 2011 (online) and June 2012 (in print).

2010

  • [J16-rfp] T. K. Helaly, R. M. Dansereau, and M. El-Tanany, “An efficient measure for nonlinear distortion severity due to HPA in downlink DS-CDMA signals,” EURASIP Journal on Wireless Communications and Networking, Volume 2010 (2010), Article ID 945427, 9 pages.
  • [C47-rfp] M. M. Fouad, R. M. Dansereau, and A. D. Whitehead, “Image registration under local illumination variations using robust bisquare M-estimation,” in Proc. of IEEE Intern. Conf. on Image Processing (ICIP’2010, Hong Kong), September 26-29, 2010, pp. 917-920.
  • [C46-rfp] T. K. Helaly, R. M. Dansereau, and M. El-Tanany, “Factors affecting spectral regrowth in DS-CDMA signals due to PD-HPA nonlinear distortion,” in Proc. of Vehicular Technology Conference (VTC2010-Fall, Ottawa, Ontario), September 6-9, 2010.
  • [J15-rfp] M. H. Radfar, R. M. Dansereau, and W.-Y. Chan, “Monaural speech separation based on gain adapted minimum mean square error estimation,” Journal of Signal Processing Systems for Signal, Image, and Video Technology, vol. 61, no. 1, pp. 21-37, Oct. 2010. doi:10.1007/s11265-008-0274-7
  • [C45-rfp-op] K. Yonis and R. M. Dansereau, “Video quality prediction using a 3D dual-tree complex wavelet structural similarity index,” in A. Elmoataz et al. (Eds.): ICISP 2010, LNCS 6134, pp. 359-367. Springer, Heidelberg (2010).
  • [C44-rfp-op] Jie Zhu, R. M. Dansereau, and A. Cuhadar, “Error-resilient and error concealment 3-D SPIHT video coding with added redundancy,” in A. Elmoataz et al. (Eds.): ICISP 2010, LNCS 6134, pp. 351-358. Springer, Heidelberg (2010).
  • [C43-rfp-op] F. Petngang, R. M. Dansereau, and C. Joslin, “Resolution scalable image coding with dyadic complementary rational wavelet transforms,” in A. Elmoataz et al. (Eds.): ICISP 2010, LNCS 6134, pp. 28-35. Springer, Heidelberg (2010).
  • [C42-rfp-op] M. M. Fouad, R. M. Dansereau, and A. D. Whitehead, “Geometric image registration under locally variant illuminations using Huber M-estimator,” in A. Elmoataz et al. (Eds.): ICISP 2010, LNCS 6134, pp. 10-18. Springer, Heidelberg (2010).
  • [C41-rfp] T. K. Helaly, R. M. Dansereau, and M. El-Tanany, “A low complexity PAR reduction technique using cyclic shifted data sequences in DS-CDMA signals,” in Proc. of Advanced International Conference on Telecommunications (AICT’2010, Barcelona, Spain), pp. 196-200, May 9-15, 2010.
  • [J14-rfp] T. K. Helaly, R. M. Dansereau, and M. El-Tanany, “Analysis of BER performance in presence of nonlinear distortion due to PD-HPA in downlink DS-CDMA signals,” IEEE Communications Letters, vol. 14, no. 4, pp. 273-275, April 2010.
  • [C40-rfp] M. H. Radfar, W. Wong, R. M. Dansereau, W.-Y. Chan, “Scaled factorial hidden Markov models: A new technique for compensating gain differences in model-based single channel speech separation,” in Proc. of IEEE Intern. Conf. on Acoustics, Speech, and Signal Processing (ICASSP’2010 Dallas), Mar. 14-19, 2010, pp. 1918-1921.

2009

  • [C39-rfp] M. M. Fouad, R. M. Dansereau, and A. D. Whitehead, “Geometric registration of images with arbitrarily-shaped local intensity variations from shadows,” in Proc. of IEEE Intern. Conf. on Image Processing (ICIP’2009, Cairo, Egypt), Nov. 7-11, 2009, pp. 201-204.
  • [J13] M. Talebinejad, A. D. C. Chan, A. Miri, and R. M. Dansereau, “Fractal analysis of surface electromyography signals: A novel power spectrum-based method,” Journal of Electromyography & Kinesiology, vol. 19, no. 5, pp. 840-850, Oct. 2009.
  • [C38-rfp-op] M. H. Radfar, W.-Y. Chan, R. M. Dansereau, and W. Wong, “Performance comparison of HMM and VQ based single channel speech separation,” in Proc. of Interspeech’2009, 10th Annual Conference of the International Speech Communication Association (Brighton, UK), pp. 1951-1954, Sep. 6-10, 2009.
  • [C37] M. H. Radfar, W. Wong, W.-Y. Chan, and R. M. Dansereau, “Gain estimation in model-based single channel speech separation,” in Proc. of IEEE Intern. Workshop on Machine Learning for Signal Processing (MLSP’2009, Grenoble, France), Sep. 2-4, 2009.
  • [C36] T. K. Helaly, R. M. Dansereau, and M. El-Tanany, “Improved power amplifier efficiency via Walsh code assignment in synchronous CDMA systems,” in Proc. of International Conference on Wireless and Mobile Communications (ICWMC09, Cannes, France), Aug. 23-29, 2009, pp. 179-184.

2008

  • [J12] Y. A. Mahgoub and R. M. Dansereau, “Time domain method for precise estimation of sinusoidal model parameters of co-channel speech,” Research Letters in Signal Processing, vol. 2008, Article ID 364674, 5 pages, 2008. doi:10.1155/2008/364674
  • [J11] M. H. Radfar, R. M. Dansereau, and A. Sayadiyan, “Speaker independent model based single channel speech separation,” Neurocomputing, vol. 72, no. 1-3, pp. 71-78, Dec. 2008.
  • [J10] W. Kinsner and R. Dansereau, “A relative fractal dimension spectrum for a perceptual complexity measure,” Intern. Journal of Cognitive Informatics and Natural Intelligence, vol. 2, no. 1, pp. 73-86, Jan.-Mar., 2008.

2007

  • [J9] M. H. Radfar and R. M. Dansereau, “Single-channel speech separation using soft mask filtering,” IEEE Transactions on Audio, Speech and Language Processing, vol. 15, no. 8, pp. 2299-2310, Nov. 2007.
  • [C35] M. H. Radfar and R. M. Dansereau, “Long-term gain estimation in model-based single channel speech separation,” in Proc. of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA2007, New Paltz, NY), October 21-24, 2007, pp. 143-146.
  • [J8] M. H. Radfar, R. M. Dansereau, and A. Sayadiyan, “A maximum likelihood estimation of vocal-tract-related filter characteristics for single channel speech separation,” EURASIP Journal on Audio, Speech, and Music Processing, vol. 2007, Article ID 84186, 15 pages, 2007. doi:10.1155/2007/84186
  • [C34] M. H. Radfar and R. M. Dansereau, “Single channel speech separation using minimum mean square error estimation of sources’ log spectra,” in Proc. of 2007 IEEE International Workshop on Machine Learning for Signal Processing (MLSP’2007 Thessaloniki, Greece), Aug. 27-29, 2007, pp. 128-132.
  • [C33] M. H. Radfar and R. M. Dansereau, “Single channel speech separation using maximum a posteriori estimation,” in Proc. of Interspeech’2007, Intern. Conf. on Spoken Language Processing (ICSLP’2007 Antwerp, Belgium), Aug. 27-31, 2007, pp. 958-961.
  • [J7] Zhong Lin, R. A. Goubran, and R. M. Dansereau, “Noise estimation using speech/non-speech frame decision and subband spectral tracking,” Speech Communication (special issue on Speech Enhancement), vol. 49, no. 7-8, pp. 542-557, July-August 2007.
  • [J6] M. H. Radfar, A. Sayadiyan, and R. M. Dansereau, “A generalized approach for model-based speaker-dependent single channel speech separation,” Iranian Journal of Science and Technology (IJST), vol. 31, no. B3, pp. 361-375, July 2007.
  • [C32] V. Badee, R. M. Dansereau, and A.D.C. Chan, “Multichannel fetal ECG extraction and enhancement using triggered adaptive filtering with weighted transitions,” 30th Conference of the Canadian Medical and Biological Engineering Society (CMBES30 Toronto), June 16-19, 2007.
  • [J5] M. H. Radfar, R. M. Dansereau, and A. Sayadiyan, “Monaural speech segregation based on fusion of source-driven with model-driven techniques,” Speech Communication, vol. 49, no. 6, pp. 464-476, June 2007.

2006

  • [C31] M. H. Radfar, A. Sayadiyan, and R. M. Dansereau, “A new algorithm for two-speaker pitch tracking in single channel paradigm,” in Proc. of Intern. Conf. on Signal Processing (ICSP’2006, Guilin, China), ISBN: 0-7803-9737-1, vol. 1, Nov. 16-20, 2006.
  • [C30] M. H. Radfar, R. M. Dansereau, and A. Sayadiyan, “A joint identification-separation technique for single channel speech separation,” in Proc. of IEEE DSP Workshop, Jackson Lake Lodge, Grand Teton National Park, Wyoming, Sept. 24-27, 2006, pp. 76-81.
  • [C29] M. Talebinejad, A. D. C. Chan, A. Miri, and R. M. Dansereau, “Effects of force and joint angle on fractal parameters of the myoelectrical signal,” in Proc. of the 28th Annual Intern. Conf. IEEE Engineering in Medicine and Biology Society (EMBS’2006 New York), Aug. 30-Sep. 3, 2006, pp. 3423-3426.
  • [C28] M. H. Radfar, R. M. Dansereau, and A. Sayadiyan, “Performance evaluation of three features for model-based single channel speech separation problem,” in Proc. of Interspeech 2006, Intern. Conf. on Spoken Language Processing (ICSLP’2006 Pittsburgh), Sept. 17-21, 2006, pp. 2610-2613.
  • [C27] M. H. Radfar, R. M. Dansereau, and A. Sayadiyan, “A joint probabilistic-deterministic approach using source-filter modeling of speech signal for single channel speech separation,” in Proc. of 2006 IEEE International Workshop on Machine Learning for Signal Processing (MLSP’2006 Maynooth, Ireland), Sept. 6-8, 2006, pp. 47-52.
  • [C26] M. H. Radfar, R. M. Dansereau, and A. Sayadiyan, “A novel low complexity VQ-based single channel speech separation technique,” in Proc. of IEEE International Symposium on Signal Processing and Information Technology (ISSPIT’2006 Vancouver), August 27-30, 2006, pp. 572-577.
  • [C25] V. Badee, A. D. C. Chan, and R. M. Dansereau, “Adaptive multichannel fetal ECG extraction and enhancement with fetal PCG triggering,” in 16th World Conference of the World Society of Cardio-Thoracic Surgeons (WSCTS’2006 Ottawa), August 17-20, 2006. (Finalist for World Congress Award)
  • [C24-rfp] W. Kinsner and R. Dansereau, “A relative fractal dimension spectrum as a complexity measure,” in Proc. IEEE 2006 Intern. Conf. Cognitive Informatics, ICCI06 (Beijing, PRC; July 17-19, 2006), ISBN: 1-4244-0475-4, pp. 200-208, 2006.
  • [J4] M. H. Radfar, R. M. Dansereau, and A. Sayadiyan, “Nonlinear minimum mean square error estimator for mixture-maximisation approximation,” Electronic Letters, vol. 42, no. 12, pp. 75-76, June 2006.
    Note: The updated authorship of the online version of this paper is M. H. Radfar, A. H. Banihashemi, R. M. Dansereau, and A. Sayadiyan.
  • [C23] M. Talebinejad, A. D. C. Chan, A. Miri, and R. M. Dansereau, “Effect of myoelectrical signal parameters on estimated fractal analysis,” in Proc. of the 29th Canadian Medical and Biological Engineering Conference (CMBES29 Vancouver), June 1-3, 2006.
  • [C22] V. Badee, A. D. C. Chan, and R. M. Dansereau, “Fetal ECG extraction using triggered adaptive noise cancellation,” in Proc. of the 29th Canadian Medical and Biological Engineering Conference (CMBES29 Vancouver), June 1-3, 2006.
  • [C21] G. Agnello and R. M. Dansereau, “Parametric mixing for centralized VoIP conferencing using ITU-T recommendation G.722.2,” in Proc. of the IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE’2006 Ottawa), May 7-10, 2006, pp. 2014-2017.
  • [C20] M. H. Radfar, R. M. Dansereau, and A. Sayadiyan, “On the choice of window size in model-based single channel speech separation,” in Proc. of the IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE’2006 Ottawa), May 7-10, 2006, pp. 981-984.
  • [C19] R. M. Dansereau, S. Jin, and R. A. Goubran, “Reducing packet loss in CBC secured VoIP using interleaved encryption,” in Proc. of the IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE’2006 Ottawa), May 7-10, 2006, pp. 1568-1572.

2005

  • [J3] D. Lo, R. A. Goubran, and R. Dansereau, “Robust joint audio-video localization in video conferencing using reliability information II: Bayesian network fusion,” IEEE Transactions on Instrumentation and Measurement, vol. 54, no. 4, pp. 1541-1547, Aug. 2005.
  • [C18] D. Lo, R. A. Goubran, and R. M. Dansereau, “Acoustic reflections detection for microphone array applications,” in Proc. of the IEEE Instrumentation and Measurement Technology Conference (IMTC’2005 Ottawa), May 16-19, 2005, vol. 2, pp. 1139-1143.
  • [C17] Y. A. Mahgoub and R. M. Dansereau, “Performance of phase-space voicing-state classification for co-channel speech,” in Proc. of the IEEE Instrumentation and Measurement Technology Conference (IMTC’2005 Ottawa), May 16-19, 2005, vol. 1, pp. 742-747.
  • [C16] Y. A. Mahgoub and R. M. Dansereau, “Voicing-state classification of co-channel speech using nonlinear state-space reconstruction,” in Proc. of IEEE Intern. Conf. on Acoustics, Speech, and Signal Processing (ICASSP’2005 Philadelphia), March 18-23, 2005, vol. 1, pp. 409-412.

2004

  • [C15] D. Lo, R. A. Goubran, and R. Dansereau, “Multimodal talker localization in video conferencing environments,” in Proc. of the IEEE Intern. Workshop on Haptic, Audio Video Environments and their Applications (HAVE’2004 Ottawa), Oct. 2-3, 2004, pp. 195-200.
  • [J2] D. Lo, R. A. Goubran, R. Dansereau, G. Thompson, and D. Schulz, “Robust joint audio-video localization in video conferencing using reliability information,” IEEE Trans. on Instrumentation and Measurement, vol. 53, no. 4, pp. 1132-1139, Aug. 2004.
  • [C14] R. M. Dansereau, “Co-channel audiovisual speech separation using spectral matching constraints,” in Proc. of the IEEE Intern. Conf. on Acoustics, Speech, and Signal Processing (ICASSP’2004 Montreal), May 17-21, 2004, vol. 5, pp. 645-648.
  • [C13] D. Lo, R. A. Goubran, and R. Dansereau, “Robust joint audio-video localization in video conferencing using reliability information II: Bayesian Network Fusion,” in Proc. of the IEEE Instrumentation and Measurement Technology Conference (IMTC’2004 Como, Italy), May 18-20, 2004, vol. 2, pp. 1246-1249.

2003

  • [C12] R. M. Dansereau, C. Li, and R. A. Goubran, “Lip feature extraction using motion, color, and edge information,” in Proc. of the IEEE Intern. Workshop on Haptic, Audio and Visual Environments and their Applications (HAVE’2003 Ottawa), September 20-21, 2003, pp. 1-6.
  • [C11] C. Li, R. M. Dansereau, and R. A. Goubran, “Acoustic speech to lip feature mapping for multimedia applications,” in Proc. of the IEEE Intern. Symposium on Image and Signal Processing and Analysis (ISPA’2003 Rome), September 18-20, 2003, vol. 2, pp. 829-832.

2002

  • [C10] R. Dansereau, W. Kinsner, and V. Cevher, “Wavelet packet best basis search using generalized Rényi entropy,” in Proc. of the IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE’2002 Winnipeg), May 12-15, 2002, vol. 2, pp. 1005-1008.

2001

  • [C9] R. Dansereau and W. Kinsner, “New relative multifractal dimension measures,” in Proc. of 26th International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2001 Salt Lake City), May 7-11 2001, vol. 3, pp. 1741-1744.

2000

  • [C8] R. Dansereau and W. Kinsner, “Psychovisual correlations with multifractal measures for wavelet and wavelet packet progressive image transmission,” in Proc. of the IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE’2000 Halifax), May 7-9, 2000, vol. 1, pp. 435-439.
  • [J1] R. Dansereau and W. Kinsner, “Progressive image transmission using wavelet packets guided by metrics,” Journal of Mathematical Modelling and Scientific Computing, vol. 10, 2000. (ISSN 1067-0688)

1999

  • [C7] R. Dansereau and W. Kinsner, “Rényi generalized entropy analysis of images from a progressive wavelet transmission,” in Proc. of IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE’99 Edmonton), May 9-12, 1999, vol. 2, pp. 769-774.
  • [C6] R. Dansereau, W. Kinsner, and J.F. Peters, “Fuzzy clocks as observers in communication networks with chaos: A fuzzy sets approach,” in Proc. of IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE’99 Edmonton), May 9-12, 1999, vol. 2, pp. 1092-1097.

1998

  • [C5] R. Dansereau and W. Kinsner, “Progressive transmission of images through fractal surface interpolation,” in Proc. of IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE’98 Waterloo), vol. 1, May 24-28, 1998, pp. 277-280.
  • [C4] R. Dansereau and W. Kinsner, “Progressive transmission of images using wavelets: Evaluation using the Rényi generalized entropy,” in Proc. of IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE’98 Waterloo), May 24-28, 1998, vol. 1, pp. 281-284.

1997

  • [C3] R. Dansereau and W. Kinsner, “Image compression through fractal surface interpolation,” in Proc. of WESCANEX’97 (Winnipeg), May 22-23, 1997, pp. 94-99.

1996

  • [C2] R. Dansereau and W. Kinsner, “Perceptual image compression through fractal surface interpolation,” in Proc. of IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE’96 Calgary), May 1996, vol. 2, pp. 899-902.

1995

  • [C1] R. Dansereau, W. Kinsner, and S. Chow, “A study of codebooks for compression of head-and-shoulder images,” in Proc. of Math. Modelling and Scientific Comp. (Boston), July 1995, vol. 6, 7 pp.

Share: Twitter, Facebook
Short URL: https://carleton.ca/richarddansereau/?p=119