Conference papers

2024

    • Z Koldovský, J. Málek, J. Čmejla, and S. O’Regan, “Informed FastICA: Semi-Blind Minimum Variance Distortionless Beamformer,” The 18th International Workshop on Acoustic Signal Enhancement (IWAENC 2024), Aalborg, Denmark, Sep. 2024. (here)
    • D. Fejgin, S. Gannot, Z. Koldovský, S. Doclo, “Comparison of Frequency-Fusion Mechanisms For Binaural Direction-of-Arrival Estimation for Multiple Speakers,” Proc. of the 49th IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea, 2024. (here)

2023

    • J. Čmejla, Z. Koldovský, V. Kautský, and T. Adalι, “Dynamic Independent Component Extraction with Blending Mixing Vector: Lower Bound on Mean Interference-to-Signal Ratio,” Proc. of the 48th IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 2023. (here)
    • Z. Koldovský, J. Čmejla, T. Adalι, and S. O’Regan, “Independent Vector Extraction Constrained on Manifold of Half-Length Filters,” the 31st European Signal Processing Conference (EUSIPCO 2023),  Helsinki, Finland, Sep. 2023. (here)

2022

    • J. Málek, J. Čmejla, and Z. Koldovský, “Blind extraction of target speech source: three ways of guidance exploiting supervised speaker embeddings,” The 17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022), pp. xx-xx, Bamberg, Germany, Sep. 2022. (here)
    • T. Haubner, Z. Koldovský, and W. Kellermann, “Joint Acoustic Echo Cancellation and Blind Source Extraction based on Independent Vector Extraction,” The 17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022), pp. xx-xx, Bamberg, Germany, Sep. 2022. (here)

2021

    • N. Amor, J. Čmejla, V. Kautský, T. Kounovský, Z. Koldovský, “Blind Extraction of Moving Sources via Independent Component and Vector Analysis: Examples,” Proc. of the 46th IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2021), pp. 3715-3719, Toronto, Canada, June 2021. (here)
    • J. Málek, J. Janský, T. Kounovský, Z. Koldovský, J. Žďánský, “Blind extraction of moving audio source in a challenging environment supported by speaker identification via X-vectors,” Proc. of the 46th IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2021), pp. 226-230, Toronto, Canada, June 2021. (here)
    • J. Čmejla, T. Kounovský, S. Gannot, Z. Koldovský, P. Tandeitnik, “MIRaGe: Multichannel Database of Room Impulse Responses Measured on High-Resolution Cube-Shaped Grid,” The 28th European Signal Processing Conference (EUSIPCO 2020), pp. 56-60, Amsterdam, January 2021. (here)
    • Z. Koldovský, V. Kautský, T. Kounovský, and J. Čmejla, “Algorithm for Independent Vector Extraction Based on Semi-Time-Variant Mixing Model,” Proc. of the 29th European Signal Processing Conference (EUSIPCO 2021), Aug. 2021. (here)
    • Z. Koldovský and S. Gannot, “Dictionary-based sparse reconstruction of incomplete relative transfer functions,” Proc. of the 29th European Signal Processing Conference (EUSIPCO 2021), Aug. 2021. (here)
    • A. Sofer, T. Kounovský, J. Čmejla, Z. Koldovský, and S. Gannot, “Robust Relative Function Identification on Manifolds for Speech Enhancement,” Proc. of the 29th European Signal Processing Conference (EUSIPCO 2021), Aug. 2021. (here)
    • J. Čmejla, T. Kounovský, J. Janský, J. Málek, M. Rozkovec, and Z. Koldovský, “Advanced Semi-Blind Speaker Extraction and Tracking Implemented in Experimental Device with Revolving Dense Microphone Array,” Proc. Interspeech 2021, 969-970, Brno, Czech Republic, Sept. 2021. (here)

2020

    • J. Janský, J. Málek, J. Čmejla, T. Kounovský, Z. Koldovský, J. Žďánský, “Adaptive Blind Audio Source Extraction Supervised by Dominant Speaker Identification Using X-Vectors,” Proc. of the 45th IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2020), pp. 676-680, Barcelona, Spain, arXiv:1910.11824 [eess.AS], May 2020. (here)

2019

    • Z. Koldovský, J. Málek, and J. Janský, “Extraction of Independent Vector Component from Underdetermined Mixtures through Block-Wise Determined Modeling,” Proc. of the 44th IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2019), pp. 7903-7907, Brighton, UK, May 2019. (here)
    • V. Kautský, Z. Koldovský, and P. Tichavský, “Performance Bound for Blind Extraction of Non-Gaussian Complex-Valued Vector Component from Gaussian Background,” Proc. of the 44th IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2019), pp. 5287-5291, Brighton, UK, May 2019. (here)

2018

    • Z. Koldovský, P. Tichavský, and N. Ono, “Orthogonally-Constrained Extraction of Independent Non-Gaussian Component from Non-Gaussian Background without ICA,” The 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018), pp. 161-170, Guildford, UK, Jul. 2018. (here)
    • J. Čmejla, T. Kounovský, J. Málek, Z. Koldovský, “Independent Vector Analysis Exploiting Pre-Learned Banks of Relative Transfer Functions for Assumed Target’s Positions,” The 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018), pp. 270-279, Guildford, UK, Jul. 2018. (here)
    • J. Janský and Z. Koldovský, “Blind Source Separation Using Incomplete De-Mixing Transform with a Precise Approach for Selecting Constrained Sets of Frequencies,” The 16th International Workshop on Acoustic Signal Enhancement (IWAENC 2018), pp. 236-240, Tokio, Japan, Sep. 2018. (here)
    • T. Kounovský, Z. Koldovský, and J. Čmejla, “Recursive and Partially Supervised Algorithms for Speech Enhancement on the Basis of Independent Vector Extraction,” The 16th International Workshop on Acoustic Signal Enhancement (IWAENC 2018), pp. 401-405, Tokio, Japan, Sep. 2018. (here)
    • J. Čmejla and Z. Koldovský, “Multi-Channel Speech Enhancement Based on Independent Vector Extraction,” The 16th International Workshop on Acoustic Signal Enhancement (IWAENC 2018), pp. 525-529, Tokio, Japan, Sep. 2018. (here)

2017

    • O. Šembera, P. Tichavský and Z. Koldovský, “Adaptive Blind Separation of Instantaneous Linear Mixtures of Independent Sources,” The 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), pp. 172-181, Grenoble, France, Feb. 2017. (here)
    • F. Nesta and Z. Koldovský, “Supervised Independent Vector Analysis Through Pilot Dependent Components,” Proc. of the 42nd IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2017), pp. 536-540, New Orleans, USA, March 2017. (here)
    • M. Müller, J. Janský, M. Boháč and Z. Koldovský, “Linear acoustic echo cancellation using deep neural networks and convex reconstruction of incomplete transfer function,” 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM), Donostia, San Sebastian, Spain, pp. 1-6, 2017. (here)
    • T. Kounovský and J. Málek, “Single channel speech enhancement using convolutional neural network,” 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM), Donostia, San Sebastian, Spain, pp. 1-5, 2017. (here)
    • Z. Koldovský, P. Tichavský, V. Kaucký, “Orthogonally Constrained Independent Component Extraction: A Blind Minimum Power Distortionless Beamformer”, The 25th European Signal Processing Conference (EUSIPCO 2017), Kos, Greece, pp. 1195-1199, Sept. 2017. (here)
    • F. Nesta, S. Mosayyebpour, Z. Koldovský, K. Paleček, “Audio/Video Supervised Independent Vector Analysis through multimodal pilot dependent components”, The 25th European Signal Processing Conference (EUSIPCO 2017), Kos, Greece, pp. 1190-1194, Sept. 2017. (here)
    • P. Rajmic, Z. Koldovský, M. Daňková, “Fast Reconstruction of Sparse Relative Impulse Responses via Second-Order Cone Programming”, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2017), New Paltz, NY, USA, pp. 364-368, Oct. 2017. (here)
    • V. Kautský, Z. Koldovský, P. Tichavský, “Cramér-Rao-Induced Bound for Interference-to-Signal Ratio Achievable Through Non-Gaussian Independent Component Extraction”, 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), Curaçao, Dutch Antilles, pp. 94-97, Dec. 2017. (here)

2016

    • O. Šembera, P. Tichavský and Z. Koldovský, “Blind Separation of Underdetermined Linear Mixtures Based on Source Nonstationarity and AR(1) Modeling,” Proc. of the 41st IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2016), pp. 4323-4327, ISBN: 978-1-4799-9987-3, Shanghai, China, March 2016. (here)
    • Z. Koldovský, F. Nesta, P. Tichavský, and N. Ono, “Frequency-Domain Blind Speech Separation Using Incomplete De-Mixing Transform,” The 24th European Signal Processing Conference (EUSIPCO 2016), pp. 1663-1667, Budapest, Hungary, Sept. 2016.  (here)
    • Z. Koldovský and F. Nesta, “Approximate MVDR and MMSE Beamformers Exploiting Scale-Invariant Reconstruction of Signals on Microphones,” The 15th International Workshop on Acoustic Signal Enhancement (IWAENC), Xi’an, China, Sept. 2016. (here)
    • J. Málek and Z. Koldovský, “Hammerstein Model-Based Nonlinear Echo Cancelation Using a Cascade of Neural Network and Adaptive Linear Filter,” The 15th International Workshop on Acoustic Signal Enhancement (IWAENC), Xi’an, China, Sept. 2016. (here)
    • J. Janský, Z. Koldovský and N. Ono, “A Computationally Cheaper Method for Blind Speech Separation Based On AuxIVA and Incomplete Demixing Transform,” The 15th International Workshop on Acoustic Signal Enhancement (IWAENC), Xi’an, China, Sept. 2016. (here)
    • Z. Koldovský, J. Málek, M. Boháč, J. Janský, “CHiME4: Multichannel Enhancement Using Beamforming Driven by DNN-based Voice Activity Detection,” Proc. of the 4th Intl. Workshop on Speech Processing in Everyday Environments (CHiME 2016), San Francisco, CA, USA, pp. 73-77, Sep. 13, 2016. (here)

2015

    • Z. Koldovský and P. Tichavský, “Sparse Reconstruction of Incomplete Relative Transfer Function: Discrete and Continuous Time Domain,” The 23rd European Signal Processing Conference (EUSIPCO 2015), pp. 394-398, Nice, France, Sept. 2015. (here)
    • Z. Koldovský, J. Janský, and F. Nesta, “A Local Model of Relative Transfer Functions Involving Sparsity,” The 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), pp. 219-226, Liberec, Czech Republic, Aug. 2015. (here)
    • Z. Koldovský, J. Málek, and P. Tichavský, “Improving Relative Transfer Function Estimates Using Second-Order Cone Programming,” The 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), pp. 227-234, Liberec, Czech Republic, Aug. 2015. (here)
    • F. Nesta, T. Thormundsson, and Z. Koldovský, “On-line Multichannel Estimation of Source Spectral Dominance,” The 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), pp. 404-412, Liberec, Czech Republic, Aug. 2015. (here)
    • P. Tichavský, O. Šembera, and Z. Koldovský, “Blind Separation of Mixtures of Piecewise AR(1) Processes and Model Mismatch,” The 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), pp. 304-311, Liberec, Czech Republic, Aug. 2015. (here)
    • J. Málek and Z. Koldovský, “Nonlinear Echo Cancellation using Generalized Power Filters,”The 2015 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM 2015), ISBN: 978-1-4799-6970-8, Liberec, Czech Republic, June 2015. (here)

2014

    • Z. Koldovský and P. Tichavský, “A Homotopy Recursive-in-Model-Order Algorithm for Weighted Lasso,” Proc. of the 39th IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2014), Florence, Italy, pp. 4151-4155, May 2014. (here) (CODE)
    • J. Málek and Z. Koldovský, “Sparse Target Cancellation Filters with Application to Semi-Blind Noise Extraction,” Proc. of the 39th IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP 2014), Florence, Italy, pp. 2109-2113, May 2014. (here)
    • Z. Koldovský, J. Málek, M. Müller, and P. Tichavský, “On Semi-Blind Estimation of Echo Paths During Double-Talk Based on Nonstationarity,” Proc. of the 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), pp. 199-203, Antibes – Juan les Pins, France, Sept. 2014. (here)
    • J. Málek, D. Botka, Z. Koldovský, and S. Gannot “Methods to Learn Bank of Filters Steering Nulls toward Potential Positions of a Target Source,” Proc. of the 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA 2014), Nancy, France, May 12-14, 2014. (here)

2013

    • J. Málek, Z. Koldovský, S. Gannot, and P. Tichavský, “Informed Generalized Sidelobe Canceler Utilizing Sparsity of Speech Signals,” Proc. of IEEE International Workshop on Machine Learning for Signal Processing, Southampton, UK, Sept. 2013. (here)
    • Z. Koldovský, P. Tichavský, D. Botka, “Noise Reduction in Dual-Microphone Mobile Phones Using A Bank of Pre-Measured Target-Cancellation Filters,” Proc. of ICASSP 2013, pp. 679-683, Vancouver, Canada, May 2013. (here) (DEMO)

2012

    • P. Tichavský and Z. Koldovský, “Algorithms for Nonorthogonal Approximate Joint Block-Diagonalization,” Proc. of EUSIPCO, pp. 2094-2098, ISSN: 2076-1465, Bucharest, Romania, August 27-31, 2012. (here)
    • Z. Koldovský, A. H. Phan, P. Tichavský, and A. Cichocki, “A Treatment of EEG Motor Imagery data by Underdetermined Blind Source Separation,”Proc. of EUSIPCO, pp. 1484-1488, ISSN: 2076-1465, Bucharest, Romania, August 27-31, 2012. (here)
    • A. H. Phan, P. Tichavský, A. Cichocki, and Z. Koldovský, “Low-Rank Blind Nonnegative Matrix Deconvolution,” Proc. of ICASSP 2012, pp. 1893-1896, ISBN: 978-1-4673-0044-5, Kyoto, Japan, March 2012. (here)
    • J. Málek, Z. Koldovský, and P. Tichavský, “Semi-Blind Source Separation Based on ICA and Overlapped Speech Detection,” Proc. of The 10th International Conference on Latent Variable Analysis and Source Separation (LVA/ICA 2012), pp. 462-469, ISBN: 978-3-642-28550-9, Tel-Aviv, Israel, March 2012. (here)
    • P. Tichavský, A. Yeredor, and Z. Koldovský, “On Computation of Approximate Joint Block-Diagonalization using Ordinary AJD,” Proc. of The 10th International Conference on Latent Variable Analysis and Source Separation (LVA/ICA 2012), pp. 163-171, ISBN: 978-3-642-28550-9, Tel-Aviv, Israel, March 2012. (here)
    • A. H. Phan, A. Cichocki, P. Tichavský, and Z. Koldovský, “On Connection Between the Convolutive and Ordinary Nonnegative Matrix Factorizations,” Proc. of The 10th International Conference on Latent Variable Analysis and Source Separation (LVA/ICA 2012), pp. 288-296, ISBN: 978-3-642-28550-9, Tel-Aviv, Israel, March 2012. (here)

2011

    • P. Tichavský and Z. Koldovský, “Stability of CANDECOMP-PARAFAC tensor decomposition,”ICASSP 2011, pp. 4164-4167, ISBN: 978-1-4577-0537-3, Prague, Czech Republic, May 2011. (here)
    • Z. Koldovský, P. Tichavský, and Anh Huy Phan, “Stability Analysis and Fast Damped-Gauss-Newton Algorithm for INDSCAL Tensor Decomposition,” Proc. of IEEE Workshop on Statistical Signal Processing, ISBN: 978-1-4577-0568-7, pp. 581-584, Nice, France, June 2011. (here)
    • Z. Koldovský, J. Málek, and P. Tichavský, “Blind Speech Separation in Time-Domain Using Block-Toeplitz Structure of Reconstructed Signal Matrices,” Proceedings of the 12th Annual Conference of the International Speech Communication Association (Interspeech 2011), pp. 561-564, ISSN: 1990-9772, Florence, Italy, Aug. 2011. (here)
    • Z. Koldovský, J. Málek, M. Balík, and J. Nouza, “CHiME Data Separation Based on Target Signal Cancellation and Noise Masking,” International Workshop on Machine Listening in Multisource Environments (CHiME Workshop – a satellite event of Interspeech 2011), pp. 47-50, Florence, Italy, Aug. 2011. (here)
    • J. Málek and Z. Koldovský, “Fuzzy Clustering of Independent Components within Time-Domain Blind Audio Source Separation Method,” 10th International workshop on Electronics, Control, Measurement and Signals (ECMS 2011), pp. 44-49, ISBN: 978-1-61284-395-7, Liberec, Czech Republic, June 2011. (here)

2010

    • Z. Koldovský, P. Tichavský, and J. Málek, “Time-Domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure,” in Latent Variable Analysis and Signal Separation, Lecture Notes in Computer Science Vol. 6365, pp. 17-24, ISBN: 978-3-642-15994-7, Springer, Heidelberg, Sept. 2010. (here)
    • Z. Koldovský, P. Tichavský, and J. Málek, “Subband Blind Audio Source Separation Using a Time-Domain Algorithm and Tree-Structured QMF Filter Bank,” in Latent Variable Analysis and Signal Separation, Lecture Notes in Computer Science Vol. 6365, pp. 25-32, ISBN: 978-3-642-15994-7, Springer, Heidelberg, Sept. 2010. (here)
    • J. Málek, Z. Koldovský, and P. Tichavský, “Adaptive Time-Domain Blind Separation of Speech Signals,” in Latent Variable Analysis and Signal Separation, Lecture Notes in Computer Science Vol. 6365, pp. 9-16, ISBN: 978-3-642-15994-7, Springer, Heidelberg, Sept. 2010. (here)
    • P. Tichavský and Z. Koldovský, “Simultaneous Search for All Modes in Multilinear Models,”ICASSP 2010, pp. 4114-4117, ISBN: 978-1-4244-4296-6, ISSN: 1520-6149, Dallas, USA, March 2010. (here)

2009

    • Z. Koldovský and P. Tichavský, “A Comparison of Independent Component and Independent Subspace Analysis Algorithms,” EUSIPCO 2009, pp. 1447-1451, Glasgow, Scotland, August 24-28, 2009. (here)
    • P. Tichavský, A. Yeredor, and Z. Koldovský, “A Fast Asymptotically Efficient Algorithm for Blind Separation of a Linear Mixture of Block-Wise Stationary Autoregressive Processes,” ICASSP 2009, pp. 3133-3136, ISBN: 978-1-4244-2354-5, ISSN: 1520-6149, Taipei, Taiwan, April 2009. (here)
    • J. Petkov and Z. Koldovský, “BSSGUI – A Package for Interactive Control of Blind Source Separation Algorithms in MATLAB,” in Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions (Eds.: A. Esposito and R. Vích), pp. 386-398, ISBN: 978-3-642-03319-3, ISSN: 0302-9743, Springer Berlin / Heidelberg, July 2009. (here)

2008

    • J. Málek, Z. Koldovský, J. Žďánský and J. Nouza, “Enhancement of Noisy Speech Recordings via Blind Source Separation”, Proceedings of the 9th Annual Conference of the International Speech Communication Association (Interspeech 2008), pp. 159-162, ISSN: 1990-9772, September 22-26, Brisbane, Australia, 2008. (here)
    • Z. Koldovský and P. Tichavský, “Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction”, Proc. of The Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA 2008), pp. 216-219, ISBN: 978-1-4244-2338-5, May 6-8, Trento, Italy, 2008. (here)
    • Z. Koldovský, J. Málek, P. Tichavský, Y. Deville, and S. Hosseini, “Extension of EFICA Algorithm for Blind Separation of Piecewise Stationary Non Gaussian Sources”, 33rd International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), Las Vegas, Nevada, pp. 1913-1916, ISBN: 1-4244-1484-9, April 2008. (here)

2007

    • Z. Koldovský and P. Tichavský, “Time-Domain Blind Audio Source Separation Using Advanced ICA Methods”, Proceedings of the 8th Annual Conference of the International Speech Communication Association (Interspeech 2007), pp. 846-849, August 2007. (here)
    • P. Tichavský, Z. Koldovský and E. Oja, “Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions”, Proceedings of 7th International Conference on Independent Component Analysis (ICA2007), pp. 285-292, Sept. 2007. (here)
    • Z. Koldovský and P. Tichavský, “Blind Instantaneous Noisy Mixture Separation with Best Interference-plus-noise Rejection”, Proceedings of 7th International Conference on Independent Component Analysis (ICA2007), pp. 730-737, Sept. 2007. (here)
    • G. G. Herrero, Z. Koldovský, P. Tichavský, and K. Egiazarian, “A Fast Algorithm for Blind Separation of Non-Gaussian and Time-Correlated Signals”, Proceedings of 15th European Signal Processing Conference (EUSIPCO 2007), pp. 1731-1735, Sept 2007. (here)
    • J. Málek, Z. Koldovský, S. Hosseini, and Y. Deville, “A Variant of EFICA Algorithm with Adaptive Parametric Density Estimator”, 8th International Workshop on Electronics, Control, Modelling, Measurement, and Signals (ECMS 2007), pp. 79-84, Liberec, Czech Republic, May 2007. (here)

2006

    • Z. Koldovský, J. Nouza, and J. Kolorenč, “Continuous Time-Frequency Masking Method for Blind Speech Separation with Adaptive Choice of Threshold Parameter Using ICA”, Interspeech 2006, Pittsburgh PA, USA, 17.-21. September, pp. 2578-2581, 2006. (here)
    • P. Tichavský, Z. Koldovský, E. Doron, A. Yeredor, and G. G. Herrero, “Blind signal separation by combining two ICA algorithms: HOS-based EFICA and time structure-based WASOBI”, Proceedings of The 2006 European Signal Processing Conference (EUSIPCO’2006), Florence, Sep. 2006. (here)
    • Z. Koldovský, P. Tichavský, “Methods of Fair Comparison of Performance of Linear ICA Techniques in Presence of Additive Noise”, Proc. of ICASSP 2006, Toulouse, no. V., pp. 873-876, May 2006. (here)

2005

    • Z. Koldovský, P. Tichavský, “Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the Cramér-Rao Lower Bound”, Proc. of SSP-2005, Bordeaux, July 2005. (here)
    • P. Tichavský, Z. Koldovský and E. Oja, “Asymptotic Performance Analysis of the Fixed-Point Algorithm (Fast-ICA) for Independent Component Analysis”, Proc. of SSP-2005, Bordeaux, July 2005. (here)
    • Z. Koldovský, P. Tichavský and E. Oja, “Cramér-Rao Lower Bound for Linear Independent Component Analysis., Proc. of ICASSP-2005, Philadelphia, Vol. III, pp. 581 – 584, March 2005. (here)

Other Papers

    • N. Ono, Z. Koldovský, S. Miyabe, N. Ito, “The 2013 Signal Separation Evaluation Campaign,”Proc. of IEEE International Workshop on Machine Learning for Signal Processing, Southampton, UK, Sept. 2013.
    • S. Araki, F. Nesta, E. Vincent, Z. Koldovský, G. Nolte, A. Ziehe and A. Benichoux, “The 2011 Signal Separation Evaluation Campaign (SiSEC2011): – Audio Source Separation -,” Proc. of The 10th International Conference on Latent Variable Analysis and Source Separation (LVA/ICA 2012), pp. 414-422, ISBN: 978-3-642-28550-9, Tel-Aviv, Israel, March 2012. (here)
    • G. Nolte, D. Lutter, A. Ziehe, F. Nesta, E. Vincent, Z. Koldovský, A. Benichoux and S. Araki, “The 2011 Signal Separation Evaluation Campaign (SiSEC2011): – Biomedical Data Analysis -,” Proc. of The 10th International Conference on Latent Variable Analysis and Source Separation (LVA/ICA 2012), pp. 423-429, ISBN: 978-3-642-28550-9, Tel-Aviv, Israel, March 2012. (here)
    • O. Hnilička, J. Málek, K. Paleček, Z. Koldovský, “A Fast C++ Implementation of Time-domain Blind Speech Separation Algorithm, ” Proc. of the 20th Czech-German WorkShop on Speech Processing, ISBN 978-80-86269-21-4, pp. 81-88, Prague, Oct. 2010.
    • Z. Koldovský, J. Málek, P. Tichavský, Y. Deville, and S. Hosseini, “Performance Analysis of Extended EFICA Algorithm”, technical report nr. 2199, ÚTIA, AV ČR, Oct. 2007. (here)
    • Z. Koldovský and P. Tichavský, “Asymptotic Analysis of Bias of FastICA-based Algorithms in Presence of Additive Noise”, technical report nr. 2181, ÚTIA, AV ČR, 2007. (here)
    • J. Nielsen, P. Tichavský, Z. Koldovský, “Odstraňování artefaktů v EEG datech II”, technical report nr. 2176, ÚTIA, AV ČR, 2006.P. Tichavský, J. Nielsen, Z. Koldovský, “Odstraňování artefaktů v EEG datech I”, technical report nr. 2140, ÚTIA, AV ČR, 2005.
    • Z. Koldovský, P. Tichavský, “Cramér-Rao Lower Bound for Independent Component Analysis”,technical report nr. 2123, ÚTIA, AV ČR, 2004. (here)
    • P. Tichavský, Z. Koldovský, A. Heřmánek and P. Regalia, “Comparison of Finite Interval Constant Modulus Algorithm and Fast-ICA for Block SISO Blind Equalization”, unpublished, 2004. (here)

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