John McWhirter

2023

• Neo, V. W., Redif, S., McWhirter, J. G., Pestana, J., Proudler, I. K., Weiss, S. and Naylor, P. A. 2023. Polynomial eigenvalue decomposition for multichannel broadband signal processing: a mathematical technique offering new insights and solutions. IEEE Signal Processing Magazine 40(7), pp. 18-37. (10.1109/MSP.2023.3269200)

2021

• Hassan, D., Redif, S., McWhirter, J. G. and Lambotharan, S. 2021. Polynomial GSVD beamforming for two-user frequency-selective MIMO channels. IEEE Transactions on Signal Processing 69, pp. 948-959. (10.1109/TSP.2021.3052040)

2017

• Redif, S., Weiss, S. and McWhirter, J. G. 2017. Relevance of polynomial matrix decompositions to broadband blind signal separation. Journal of Signal Processing 134, pp. 76-86. (10.1016/j.sigpro.2016.11.019)
• Wang, Z., Sandmann, A., McWhirter, J. and Ahrens, A. 2017. Decoupling of broadband optical MIMO systems using the multiple shift SBR2 algorithm. International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems 6(1), pp. 30-37. (10.11601/ijates.v6i1.207)
• Coutts, F. K., Corr, J., Thompson, K., Weiss, S., Proudler, I. K. and McWhirter, J. G. 2017. Complexity and search space reduction in cyclic-by-row PEVD algorithms. Presented at: 2016 50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 6-9 November 20162016 50th Asilomar Conference on Signals, Systems and Computers. IEEE pp. 1349-1353., (10.1109/ACSSC.2016.7869595)
• McWhirter, J. and Wang, Z. 2017. A novel insight to the SBR2 algorithm for diagonalising Para-Hermitian matrices. Presented at: 11th IMA International Conference on Mathematics in Signal Processing, Birmingham, UK, 12 – 14 December 201611th IMA International Conference on Mathematics in Signal Processing.

2016

• Coutts, F. K., Corr, J., Thompson, K., Weiss, S., Proudler, I. K. and McWhirter, J. 2016. Memory and complexity reduction in parahermitian matrix manipulations of PEVD algorithms. Presented at: 2016 24th European Signal Processing Conference (EUSIPCO), 29 August - 2 September 20162016 24th European Signal Processing Conference (EUSIPCO). Piscataway, NJ: IEEE pp. 1633-1637., (10.1109/EUSIPCO.2016.7760525)
• Wang, Z., McWhirter, J., Corr, J. and Weiss, S. 2016. Order-controlled multiple shift SBR2 algorithm for para-hermitian polynomial matrices. Presented at: The Ninth IEEE Sensor Array and Multichannel Signal Processing Workshop, Rio de Janeiro, Brazil, 10-13 July 20162016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, (10.1109/SAM.2016.7569742)
• Wang, Z., Sandemann, A., McWhirter, J. and Ahrens, A. 2016. Multiple shift SBR2 algorithm for calculating the SVD of broadband optical MIMO systems. Presented at: 39th IEEE Int Conf on Telecommunications and Signal Processing, Vienna, Austria, 27-29 June 2016.
• Ahrens, A., Sandmann, A., Wang, Z. and McWhirter, J. G. 2016. Polynomial matrix SVD algorithms for broadband optical MIMO systems. Presented at: 7th International Conference on Optical Communication Systems (OPTICS 2016), Lisbon, Portugal, 26 - 28 July 2016Proceedings of the 13th International Joint Conference on e-Business and Telecommunications, Vol. 3. Setúbal, Portugal: SciTePress pp. 35-42., (10.5220/0005949400350042)
• Coutts, F., Weiss, S., Proudler, I. K. and McWhirter, J. 2016. Multiple shift QR decomposition for polynomial matrices. Presented at: 11th IMA International Conference on Mathematics in Signal Processing, Birmingham, UK, 12-14 Dec 2016IMA International Conference on Mathematics in Signal Processing. Institute of Mathematics and Applications

2015

• Corr, J., Thompson, K., Weiss, S., Proudler, I. K. and McWhirter, J. 2015. Row-shift corrected truncation of paraunitary matrices for PEVD algorithms. Presented at: 23rd European Signal Processing Conference (EUSIPCO), Nice, France, 31 August - 4 September 20152015 23rd European Signal Processing Conference (EUSIPCO). IEEE pp. 849-853., (10.1109/EUSIPCO.2015.7362503)
• Corr, J., Thompson, K., Weiss, S., McWhirter, J. G. and Proudler, I. K. 2015. Performance trade-offs in sequential matrix diagonalisation search strategies. Presented at: IEEE 6th Int Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, 13-16 Dec 2015 Presented at Djurić, P. M. and Tourneret, J. eds.2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015): Proceedings of a meeting held 13-16 December 2015, Cancun, Mexico. Piscataway, NJ: IEEE pp. 25-28., (10.1109/CAMSAP.2015.7383727)
• McWhirter, J. 2015. Shortening of paraunitary matrices obtained by polynomial eigenvalue decomposition algorithms. Presented at: Sensor Signal Processing for Defence, Edinburgh, Scotland, UK, 9-10 Dec 2015.
• McWhirter, J. 2015. Impact of source model matrix conditioning on PEVD algorithms. Presented at: 2nd IET Conference on Intelligent Signal Processing, London, UK, 1-2 Dec 2015.
• McWhirter, J. 2015. Reduced search space multiple shift maximun element sequential matrix decomposition algorithm. Presented at: 2nd IET Conference on Intelligent Signal Processing, London, UK, 1-2 Dec 2015.
• Redif, S., Weiss, S. and McWhirter, J. 2015. Sequential matrix diagonalisation algorithms for polynomial EVD of parahermitian matrices. IEEE Transactions on Signal Processing 63(1), pp. 81-89. (10.1109/tsp.2014.2367460)
• Wang, Z., McWhirter, J., Corr, J. and Weiss, S. 2015. Multiple shift second order sequential best rotation algorithm for polynomial matrix EVD. Presented at: 23rd European Signal Processing Conference, Nice, France, 31 August - 4 September 201523rd European Signal Processing Conference. IEEE pp. 849-853., (10.1109/EUSIPCO.2015.7362502)
• Wang, Z., McWhirter, J. and Weiss, S. 2015. Multichannel spectral factorization algorithm using polynomial matrix eigenvalue decomposition. Presented at: 49th Annual Asilomar Conference on Signals, Systems, and Computers, California, USA, 8-11 November 201549th Annual Asilomar Conference on Signals, Systems, and Computers. CA, USA: IEEE pp. 1714-1718., (10.1109/ACSSC.2015.7421442)
• McWhirter, J. 2015. Signal processing. In: Higham, N. J. et al. eds. The Princeton Companion to Applied Mathematics. Princeton: Princeton University Press

2014

• Corr, J., Thompson, K., Weiss, S., McWhirter, J. and Proudler, I. K. 2014. Causality constrained multiple shift sequential matrix diagonalisation for parahermitian matrices. Presented at: 2014 Signal Processing Conference (EUSIPCO), Lisbon, Portugal, 1 - 5 September 20142014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO). IEEE pp. 1277-1281.
• Corr, J., Thompson, K., Weiss, S., McWhirter, J., Redif, S. and Proudler, I. K. 2014. Multiple shift, maximum element sequential matrix diagonalisation for parahermitian matrices. Presented at: 2014 IEEE Workshop on Statistical Signal Processing (SSP), Gold Coast, Australia, June 29 -July 2 2014Statistical Signal Processing (SSP), 2014 IEEE Workshop on. IEEE pp. 312-315., (10.1109/SSP.2014.6884638)
• Corr, J., Thompson, K., Weiss, S., McWhirter, J. and Proudler, I. K. 2014. Maximum energy sequential matrix diagonalisation for parahermitian matrices. Presented at: 2014 Asilomar Conference on Signals, Systems, and Computers,, Pacific Grove, CA, USA, 2-5 November 2014Proceesings of 2014 Asilomar Conference on Signals, Systems, and Computers,. IEEE
• Corr, J., Thompson, K., Weiss, S., McWhirter, J. and Proudler, I. K. 2014. Cyclic-by-row approximation of iterative polynomial EVD Algorithms. Presented at: 2014 Sensor Signal Processing for Defence (SSPD), Edinburgh, UK, 8-9 September 2014Sensor Signal Processing for Defence (SSPD), 2014. IEEE, (10.1109/SSPD.2014.6943330)
• Wang, Z. and McWhirter, J. 2014. A new multichannel spectral factorisation algorithm for parahermitian polynomial matrices. Presented at: 10th IMA International Conference on Mathematics in Signal Processing, Birmingham, UK, 15-17 December 201410th IMA International Conference on Mathematics in Signal Processing. Institute of Mathematics

2013

• McWhirter, J., Weiss, S., Alrmah, M. A., Lambotharan, S. and Kaveh, M. 2013. Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework. Presented at: IEEE 5th Int. Workshop on Computational Advances in Multisensor Adaptive Processing, Saint Martin, 15-18 December 2013. , (10.1109/CAMSAP.2013.6714019)
• McWhirter, J., Alrmah, M. A., Weiss, S., Redif, S. and Lambotharan, S. 2013. Angle of arrival estimation for broadband signals. Presented at: IET Intelligent Signal Processing, London, 2-3 December 2013. , (10.1049/cp.2013.2066)
• McWhirter, J., Alrmah, M. A. and Weiss, S. 2013. Implementation of accurate broadband steering vectors for broadband angle of arrival estimation. Presented at: IET Intelligent Signal Processing, London, 2-3 December 2013Intelligent Signal Processing Conference 2013 (ISP 2013), IET. IET, (10.1049/cp.2013.2057)

2012

• Jafarian, A. and McWhirter, J. 2012. A novel method for multichannel spectral factorization. Presented at: EUSIPCO-2012, Bucharest, Romania, 27-31 August 2012Proceedings of the 20th European Signal Processing Conference (EUSIPCO). Piscataway, N.J: Institute of Electrical and Electronics Engineers pp. 1069-1073.
• Foster, J., McWhirter, J., Lambotharan, S., Proudler, I., Davies, M. and Chambers, J. 2012. Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels. IET Signal Processing 6(7), pp. 704-712. (10.1049/iet-spr.2011.0086)

2011

• Redif, S., McWhirter, J. and Weiss, S. 2011. Design of FIR paraunitary filter banks for subband coding using a polynomial Eigenvalue decomposition. IEEE Transactions on Signal Processing 59(11), pp. 5253-5264. (10.1109/TSP.2011.2163065)
• Redif, S., Weiss, S. and McWhirter, J. 2011. An approximate polynomial matrix eigenvalue decomposition algorithm for para-Hermitian matrices. Presented at: IEEE International Symposium on Signal Processing and Information Technology, Bilbao, Spain, 14-17 December 2011IEEE International Symposium ISSPIT 2011 : December 14-17, 2011, Bilbao, Spain. Piscataway, N.J: Institute of Electrical and Electronics Engineers ( IEEE ) pp. 421-425., (10.1109/ISSPIT.2011.6151599)

2010

• Foster, J. A., McWhirter, J., Davies, M. R. and Chambers, J. A. 2010. An algorithm for calculating the QR and singular value decompositions of polynomial matrices. IEEE Transactions on Signal Processing 58(3), pp. 1263-1274. (10.1109/TSP.2009.2034325)
• Ghaderi, F., Sanei, S. and J., M. 2010. Blind source extraction of cyclostationary sources with common cyclic frequencies. Presented at: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Dallas, USA.
• Ghaderi, F., Nazarpour, K., McWhirter, J. and Sanei., S. 2010. Removal of ballistocardiogram artifacts using the cyclostationary source extraction method. IEEE Transactions on Biomedical Engineering 57(11), pp. 2667-2676. (10.1109/TBME.2010.2060334)
• Ghaderi, F., Nazarpour, K., McWhirter, J. and Sanei, S. 2010. Removal of ballistocardiogram artifacts exploiting second order cyclostationarity. Presented at: 20th IEEE International Workshop on Machine Learning for Signal Processing, Kittilä, Finland, 29 August-1 September 2010 Presented at Kaski, S. et al. eds.Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010). Los Alamitos, CA: IEEE pp. 71-76., (10.1109/MLSP.2010.5589220)
• Redif, S., McWhirter, J. and Weiss, S. 2010. Orthonormal subband coder design using polynomial eigenvalue decomposition. Presented at: European Signal Processing Conference (EUSIPCO-2010), Aalborg, Denmark.
• Foster, J., McWhirter, J., Davies, M., Lambotharan, S. and Chambers, J. A. 2010. Spatial-temporal mode transmission based upon the QR decomposition of a polynomial channel matrix with uncertainties. Presented at: Proceedings 18th European Signal Processing Conference (EUSIPCO-2010), Aalborg, Denmark.
• Foster, J. A., McWhirter, J., Davies, M. R. and Chambers, J. A. 2010. A study of the effects of uncertainties when calculating the singular value decomposition of a polynomial matrix. Presented at: IEEE International Conference on Acoustics, Speech, and Signal Processing, Dallas, Texas, USA, 14-19 March 2010Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference (Dallas, USA). Piscataway, NJ: IEEE pp. 4118-4121., (10.1109/ICASSP.2010.5495728)
• McWhirter, J. 2010. An algorithm for polynomial matrix SVD based on generalised Kogbetliantz transformations. Presented at: Proceedings of the 2010 European Signal Processing Conference (EUSIPCO 2010), Aalborg, Denmark.
• Ghaderi, F., Sanei, S. and McWhirter, J. 2010. Removal of ballistocardiogram artifacts using the cyclostationary source extraction method. Presented at: Proceedings IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Kittilä, Finland.
• Ghaderi, F., Sanei, S. and J., M. 2010. Removal of Ballistocardiogram Artifacts Exploiting Second Order Cyclostationarity. Presented at: Proceedings of IEEE International Workshop on machine learning for signal processing (MLSP), Kittilä, Finland.

2009

• Davies, M., Lambotharan, S., Foster, J., Chambers, J. A. and McWhirter, J. 2009. A polynomial QR decomposition based turbo equalisation technique for frequency selective MIMO channels. Presented at: Proceedings of 69th Vehicular Technology Conference (VTC 2009), Barcelona, Spain.
• Davies, M., Lambotharan, S., Foster, J., Chambers, J. A. and McWhirter, J. 2009. Polynomial matrix QR decomposition and iterative decoding of frequency selective MIMO channels. Presented at: Wireless Communications and Networking Conference (WCNC 2009), Budapest, Hungary.
• Foster, J., McWhirter, J. and Chambers, J. A. 2009. A novel algorithm for calculating the singular value decomposition of a polynomial matrix. Presented at: Proceedings of 17th European Signal Processing Conference ( EUSIPCO2009), Glasgow, UK.
• Foster, J., McWhirter, J. and Chambers, J. A. 2009. A novel algorithm for calculating the QR decomposition of a polynomial matrix. Presented at: 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, Taipei, Taiwan, 19-24 April 20092009 IEEE International Conference on Acoustics, Speech, and Signal Processing proceedings. IEEE pp. 3177 -3190., (10.1109/ICASSP.2009.4960299)
• Ghaderi, F., Abolghasemi, V., Makkiabadi, B., McWhirter, J. and S., S. 2009. Heart and lung sound separation using periodic source extraction. Presented at: Proceedings of International Conference (DSP2009), Santorini, Greece.
• Ghaderi, F., Mosheni, H. R., McWhirter, J. and S., S. 2009. Blind source separation of periodic signals. Presented at: Proceedings. IEEE. International Conference on Acoustic, Speech and Signal Processing, Taipei, Taiwan.

2008

• Foster, J., McWhirter, J. and Chambers, J. 2008. An algorithm for calculating the QR decomposition of a polynomial matrix. Presented at: 8th International Conference on Mathematics in Signal Processing, Cirencester, Cirencester, UK.
• Davies, M., Lambotharan, S., Foster, J., Chambers, J. A. and McWhirter, J. 2008. Polynomial matrix QR decomposition for broadband MIMO wireless communications. Presented at: IMA International Conference on Mathematics in Signal Processing, Cirencester, UK.
• Davies, M., Lambotharan, S., Chambers, J. A. and McWhirter, J. 2008. Broadband MIMO beamforming for frequency selective channels using the sequential best rotation algorithm. Presented at: 67th IEEE Vehicular Technology Conference, Singapore, 11-14 May 2008Vehicular Technology Conference, 2008. VTC Spring 2008. (Singapore). Piscataway, NJ: IEEE pp. 1147 - 1151., (10.1109/VETECS.2008.243)
• Woods, R. F., McCanny, J. V. and McWhirter, J. 2008. From a bit level systolic arrays to HDTV processor chips. Journal of Signal Processing Systems 53(1-2), pp. 35-49. (10.1007/s11265-007-0132-z)

2007

• McWhirter, J., Baxter, P. D., Cooper, T., Redif, S. and Foster, J. 2007. An EVD algorithm for para-Hermitian polynomial matrices. IEEE Transactions on Signal Processing 55(5), pp. 2158-2169. (10.1109/TSP.2007.893222)
• Haykin, S. et al. eds. 2007. New directions in statistical signal processing: from systems to brains. Neural Information Processing series. Cambridge, MA: MIT Press.
• Liu, W., Weiss, S., McWhirter, J. and Proudler, I. K. 2007. Frequency invariant beamforming for two-dimensional and three-dimensional arrays. Journal of Signal Processing 87(11), pp. 2535-2543. (10.1016/j.sigpro.2007.03.018)
• Davies, M., Lambotharan, S. and McWhirter, J. 2007. Broadband MIMO beamforming using spatial-temporal filters and polynomial matrix decomposition. Presented at: 15th International Conference on Digital Signal Processing (DSP 2007), Cardiff, Wales.
• Foster, J., McWhirter, J. and Chambers, J. A. 2007. An algorithm for computing the QR decomposition of a polynomial matrix. Presented at: 15th International Conference on Digital Signal Processing (DSP 2007), Cardiff, Wales, 1-4 July 2007Digital Signal Processing, 2007- 15th International Conference (DSP 2007) (Cardiff, UK). IEEE pp. 71 - 74., (10.1109/ICDSP.2007.4288521)
• Foster, J., McWhirter, J. and Chambers, J. A. 2007. A polynomial matrix QR decomposition with application to MIMO channel equalisation. Presented at: 41st Asilomar Conference on Circuits, Signals Systems and Computers (invited paper) (ACSSC 2007), Pacific Grove, California, USA.

2006

• McWhirter, J. and Baxter, P. D. 2006. Decorrelation of signals. US Patent Application 20060020428; Worldwide patent application WO/2004/051501 [Patent].
• Weiss, S., Rediff, S., Cooper, T., Liu, C., Baxter, P. D. and McWhirter, J. 2006. Paraunitary oversampled filter bank design for channel coding. EURASIP Journal on Applied Signal Processing 2006, article number: 31346. (10.1155/ASP/2006/31346)
• Redif, S. and McWhirter, J. 2006. An algorithm for polynomial matrix EVD applied to broadband adaptive beamforming. Presented at: Proceedings of IEEE/MTS Oceans'06 Conference, Boston, USA.
• Davies, M., Lambotharan, S. and McWhirter, J. 2006. Polynomial matrix SVD for MIMO broadband beamforming. Presented at: IMA International Conference on Mathematics in Signal Processing, Cirencester, UK.
• Foster, J., McWhirter, J. and Chambers, J. A. 2006. Limiting the order of polynomial matrices within the SBR2 algorithm. Presented at: 7th IMA International Conference on Mathematics in Signal Processing, Cirencester, UK.
• McWhirter, J., Baxter, P. D., Cooper, T. and Redif, S. 2006. A novel technique for broadband subspace decomposition. Presented at: Proceedings European Signal Processing Conference (EUSPICO-2006), Florence, Italy.
• Baxter, P. D. and McWhirter, J. 2006. Robust adaptive beamforming using the domain weighted principal components analysis technique. Presented at: IMA International Conference on Mathematics in Signal Processing, Cirencester, UK.
• Baxter, P. D., Spence, G. and McWhirter, J. 2006. Blind signal separation on real data: tracking and implementing. Presented at: Proceedings of Independent Component Analysis (ICA-2006), Charleston, USA.

2005

• McWhirter, J. and Baxter, P. D. 2005. Robust adaptive beamforming based on domain weighted PCA. Presented at: Proceedings of the 13th European Signal Processing Conference (EUSIPCO 2005), Antalya, Turkey.
• Liu, C., Weiss, S., Redif, S., Cooper, T., Lampe, L. and McWhirter, J. 2005. Channel coding for powerline communications based on oversampled filter banks. Presented at: 9th International Symposium on Power-Line Communications and Its Applications (ISPLC 2005), Vancouver, Canada, 6-8 April 2005Proceedings International Symposium on Powerline Communications (ISPLC) Vancouver, Canada 2005.

2004

• McWhirter, J. and Baxter, P. D. 2004. A novel technique for broadband SVD. Presented at: Proceedings 12th Annual Workshop of Adaptive Sensor Array Signal Processing, Lexington, USA.

2003

• McWhirter, J. 2003. IMA presidential address- Mathematics and Signal Processing. Mathematics Today 39(2), pp. 47-53.
• McWhirter, J. and Baxter, P. D. 2003. Blind signals separation of convolutive mixtures. Presented at: Proceedings of the 37th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, USA.

2002

• Baxter, P. D. and McWhirter, J. 2002. Blind signal separation of convolutive mixtures. Presented at: IMA Conference on mathematics in communications, Lancaster, UK.