Research Activities
DATA FILES Rehabilitation Assessment (10): Thermal Camera (MP4) and Heart Rate (XLSX) Data DATA


List of Selected Scientific Papers:

2018

Procházka A., Kuchyňka J., Vyšata O., Schätz M., Yadollahi M., Sanei S., Vališ M.: Sleep Scoring Using Polysomnography Data Features, SPRINGER: Signal, Image and Video Processing, SIViP, 2018, https://doi.org/10.1007/s11760-018-1252-6, pp. 1-9, IF: 1.102

2017

Dong J., Han Z., Zhao Y., Wang W., Procházka A., Chambers J.: Sparse Analysis Model Based Multiplicative Noise Removal with Enhanced Regularization, ELSEVIER: Signal Processing, 2017, 137(8):160-176, IF: 2.063

Charvátová H., Procházka A., Vaseghi S., Vyšata O., Vališ M.: GPS-based Analysis of Physical Activities Using Positioning and Heart Rate Cycling Data, SPRINGER: Signal, Image and Video Processing, SIViP, 2017, 11(2): 251-258, IF: 1.43

Kopal J., Vyšata O., Burian J., Schätz M., Procházka A., Vališ M.: EEG Synchronization Length During Meditation, Journal of Medical and Biological Engineering, 2017, 37(2): 220/229, IF: 1.018

Procházka A., Vaseghi S., Charvátová H., Ťupa O., Vyšata O.: Cycling Segments Multimodal Analysis and Classification Using Neural Networks, MDPI: Applied Sciences, 2017, 7: 581, 1-11 IF: 1.679

Procházka A., Charvátová H., Vyšata O., Kopal J., Chambers J.: Breathing Analysis Using Thermal and Depth Imaging Camera Video Records, MDPI: Sensors, 2017, 17: 1-10, IF: 2.677

2016

Procházka A., Schätz M., Centonze F., Kuchyňka J., Vyšata O., Vališ M.: Extraction of Breathing Features Using MS Kinect for Sleep Stage Detection, SPRINGER: Signal, Image and Video Processing, SIViP, 2016, 10(7):1279-1286, DOI: DOI 10.1007/s11760-016-0897-2, (published OnLine 3 May 2016), IF: 1.43

Procházka A., Schätz M., Vyšata O., Vališ M.: Microsoft Kinect Visual and Depth Sensors for Breathing and Heart Rate Analysis, MDPI: Sensors, 2016, 16(7), 996, pp. 1-11, DOI:10.3390/s16070996, http://www.mdpi.com/journal/sensors/special_issues/non_contact_sensing , IF: 2.033

Langari B., Vaseghi S., Prochazka A., Vaziri B., Aria F. T.: Edge-Guided Image Gap Interpolation Using Multi-scale Transformation, IEEE Transaction on Image Processing, 2016, 25(9): 4394-4405, DOI: 10.1109/TIP.2016.2590825 , ISSN: 1057-7149, IF: 3.735

Slavíková Caudrová P., Mudrová M., Petrová J., Fojt J., Joska L., Procházka A.: Automatic characterization of titanium dioxide nanotubes by image processing of scanning electron microscopic images, SAGE: Nanomaterials and Nanotechnology, 6: 1-13, 2016, IF: 1.109

2015

Procházka A., Kašparová M., Yadollahi M., Vyšata O., Grajciarová J.: Multi-Camera Systems Use for Dental Arch Shape Measurement, SPRINGER: The Visual Computer, 31:1501-1509, 2015, (7.11.2013 / rev. 26.7.2014 / accepted 10.9.2014), DOI: 10.1007/s00371-014-1029-z, 2014, IF: 1.07

Yadollahi M., Procházka A., Kašparová M., Vyšata O.: The Use of Combined Illumination in Segmentation of Orthodontic Bodies, SPRINGER: Signal, Image and Video Processing, SIViP (2015) 9:243-250, (27.5.2013 accepted 25.5.2014), DOI: 10.1007/s11760-014-0653-4, http://dx.doi.org/10.1007/s11760-014-0653-4, IF: 1.019

Procházka A., Vyšata O., Vališ M., Ťupa O., Schatz M., Mařík V.: Use of Image and Depth Sensors of the Microsoft Kinect for the Detection of Gait Disorders, SPRINGER: Neural Computing and Applications, 26:1621-1629, 2015, IF:1.569

Vyšata O., Vališ M., Procházka A., Rusina R., Pazdera L.: Linear and Nonlinear EEG Synchronisation in Alzheimer's Disease, SPRINGER: Neurophysiology, 47(1):46-52, 2015, DOI: 10.1007/s11062-015-9496-z, IF:0.174

Procházka A., Vyšata O., Vališ M., Ťupa O., Schätz M., Mařík V.: Bayesian Classification and Analysis of Gait Disorders Using Image and Depth Sensors of Microsoft Kinect, Elsevier: Digital Signal Processing, (47)12:169-177, 2015, DOI: 10.1016/j.dsp.2015.05.011, IF: 1.256

Yadollahi M., Procházka A., Kašparová M., Vyšata O., Mařík V.: Separation of overlapping dental arch objects using digital records of illuminated plaster casts, BioMedical Engineering OnLine 2015, 14:67, pp. 1-15, DOI: 10.1186/s12938-015-0066-9, IF: 1.43

Novotná R. Vyšata O., Ehler E., Kanta M., Schreiber M., Procházka A., Kunc P., Vališ M.: The dependence of age on ulnar nerve conductive study parameter adaptation after compressive ulnar neuropathy operations in the elbow, Acta Neurochirurgica, 2015, 157(8), DOI: 10.1007/s00701-015-2489-2, IF: 1.77

Ťupa O., Procházka A., Vyšata O., Schätz M., Mareš J., Vališ M., Mařík V.: Motion tracking and gait feature estimation for recognising Parkinson’s disease using MS Kinect, BioMedical Engineering OnLine 2015, 14:97, pp. 1-20, DOI: 10.1186/s12938-015-0092-7, IF: 1.43

2014

Vyšata O., Procházka A., Mareš J.,Rusina R.,Pazdera L.,Vališ M.,Kukal J.: Change in the Characteristics of EEG Color Noise in Alzheimer's Disease, Clinical EEG & Neuroscience 2014, 45(3):147-151, (accepted 5.5.2013, published 16.10.2013), IF: 1.818

Procházka A., Vaseghi S., Yadollahi M., Ťupa O., Mareš J., Vyšata O.: Remote Physiological and GPS Data Processing in Evaluation of Physical Activities, SPRINGER: Medical & Biological Engineering & Computing, 52:301-308, 2014, (4.7.2013, accepted 13.12.2013), IF: 1.878

Vyšata O., Kukal J., Procházka A., Pazdera L., Simko J., Vališ M.: Age-related changes in EEG coherence, ELSEVIER: Neurologia i Neurochirurgia Polska, (2014) 48:35 – 38, IF: 0.49

Vyšata O., Kukal J., Vališ M., Pazdera L., Hortl J., Procházka A.: Lag Synchronisation in the Human Brain, NeuroQuantology Journal (2014) 12(4):40-45, IF:0.39

Vyšata O., Procházka A., Kunc P., Kanta M., Ehler E., Yadollahi M., Vališ M.: Age delays the recovery of distal motor latency after carpal tunnel syndrome surgery, SPRINGER: Acta Neurochirurgica, (2014) 4:1 – 5, IF: 1.55

Kašparová M., Procházka A., Gráfová L., Yadollahi M., Vyšata O., Dostálová T.: Evaluation of Dental Morphometrics During the Orthodontic Treatment, BioMedical Engineering OnLine 2014, 13:68, pp. 1-13, (12.2.2014, accepted 23.5.2014, published 3.6.2014), IF: 1.61

Procházka A., Vyšata O., Ťupa O., Mareš J., Vališ M.: Discrimination of Axonal Neuropathy Using Sensitivity and Specificity Statistical Measures, SPRINGER:Neural Computing and Applications, 25(6):1349-1358, (5.7.2013 accepted May 2014), IF:1.168

Vyšata O., Schätz M., Kopal J., Burian J., Procházka A., Kuchyňka J., Hort J., Vališ M.: EEG Non-linear Measures in Meditation, Scientific Research: Journal of Biomedical Science and Engineering, 7:731-738, 2014, (9.6.2014), IF: 0.3

Kopal J., Vyšata O., Burian J., Schätz M., Procházka A., Vališ M.: Complex continuous wavelet coherence for EEG microstates detection in insight and calm meditation, ELSEVIER: Consciousness and Cognition, 30:13-23, 2014, IF: 2.24

2013

Mareš J., Vyšata O., Procházka A., and Vališ M.: Age-Dependent Complex Noise Fluctuation in the Brain, IOP Science: Physiological Measurement 2013, Vol. 34, No 10 (2013), 1269-1279, IF: 1.68

Kašparová M., Gráfová L., Dvořák P., Dostálová T., Procházka A., Eliášová H., Průša J., and Kakawandand S.: Possibility of reconstruction of dental plaster cast from 3D digital study models, BioMedical Engineering OnLine 2013, Vol. 12, No 49 (2013), IF: 1.41

Gráfová L., Kašparová M., Kakawand S., Procházka A., and Dostálová T.: Study of Edge Detection Task in Dental Panoramic X-ray Images, Dentomaxillofacial Radiology 20120391, (2013), DOI:10.1259/dmfr.20120391, IF: 1.557

Kavalcova L., Skaba R., Kyncl M., Rouskova B., and Prochazka A.: The diagnostic value of MRI fistulogram and MRI distal colostogram in patients with anorectal malformations, Journal of Pediatric Surgery 2013, Vol. 48, No 8 (2013), 1806-9, IF: 1.45

Vyšata O., Procházka A., Mareš J., Rusina R., Pazdera L., Vališ M., and Kukal J.: Change in the Characteristics of EEG Color Noise in Alzheimer's Disease, Clinical EEG and Neuroscience, DOI:10.1177/1550059413491558, (2013), IF: 1.818

Gráfová L., Mareš J., Procházka A., and Konopásek P.: Edge Detection in Biomedical Images Using Self-Organizing Maps, In Artificial Neural Networks (K. Suzuki, Ed.), chapter 6, 125–144. InTech, Rijeka, Croatia, 2013. ISBN 978-953-51-0935-8

2011

L. Gráfová, O. Vyšata, and A. Procházka, Feature Analysis of EEG Signals Using SOM, Posterus, 4(2):1–7, 2011. ISSN 1338-0087

E. Jerhotová, J. Švihlík, and A. Procházka, Biomedical Image Volumes Denoising via the Wavelet Transform, In Applied Biomedical Engineering, chapter 19, 435–458. InTech, Rijeka, Croatia, 2011. ISBN 978-953-307-256-2

J. Mareš, A. Procházka, and P. Doležel, On-line Recognition of Autonomous Robot Position via Camera DragonFly, In Proc. of the 18th International Conference on Process Control PC 2011, 253–256, 2011. ISBN 978-80-227-3517-9

A. Procházka, L. Gráfová, and O. Vyšata, Three-Dimensional Wavelet Transform in Multi-Dimensional Biomedical Volume Processing, In Proc. of the of the IASTED International Conference Graphics and Virtual Reality, 263–268, 2011. Cambridge, U.K. ISBN 978-0-88986-889-2

A. Procházka, J. Mareš, O. Vyšata, M. Kašparová, and T. Dostálová, Computer Aided Orthodontics Measures Evaluation, In Proc. of the 4th International Conference on Visualization, Imaging and Simulation VIS 11, 150–155, 2011. ISBN 978-1-61804-046-6

A. Procházka, O. Vyšata, M. Kašparová, and T. Dostálová, Wavelet Transform in Biomedical Image Segmentation and Classification, In Proc. of the 7th International Symposium on Image and Signal Processing and Analysis, 519–522, 2011. Dubrovnik, Croatia. ISBN 978-1-4577-0841-1

P. Slavíková, M. Mudrová, and A. Procházka, Image Segmentation Methods Use on Alloy Images Processing, In Proc. of the 15th IEEE International Conference on Intelligent Engineering Systems, 249–251, 2011. ISBN 978-1-4244-8955-8

O. Vyšata and A. Procházka, Image Processing by Pattern Formation and Clustering in a Set of Coupled Neural Chaotic Oscillators, In Proc. of the 4th International Conference on Visualization, Imaging and Simulation VIS 11, Sicily, Italy,322–324, 2011. ISBN 978-1-61804-046-6

M. Yadollahi, A. Procházka, M. Mudrová, M. Kašparová, and T. Dostálová, Orthodontics Objects Segmentation Using Region Growing Method and Space Illumination, In Proc. of the 4th Int. Conference on Visualization, Imaging and Simulation VIS 11, Sicily, Italy, 156–161, 2011. ISBN 978-1-61804-046-6

O. Ťupa, A. Procházka, and O. Vyšata, Multiscale Peak Detection in EMG Signal Analysis, In Proc. of the 19th International Conference Technical Computing Prague 2011, 121/1–6, 2011. ISBN 978-80-7080-794-1

2010

P. Baez, C. Viadero, M. Del Pino, A. Procházka, and C. Suarez Araujo, HUMANN-Based Systems for Differential Diagnosis of Dementia Using Neuropsychological Tests, In Proc. of the 14th International Conference on Intelligent Engineering Systems INES 2010, p. 67–72, 2010. Las Palmas, Spain. ISBN 978-1-4244-7651

R. Háva and A. Procházka, Distributed Computing and Computer Intelligence in Pattern Recognition, In Proc. of the 9th International Conference Process Control, C130a/1–8, 2010. ISBN 978-80-227-3339-7

A. Procházka, M. Mudrová, O. Vyšata, and R. Háva, Multi-Channel EEG Signal Segmentation and Feature Extraction, In Proc. of the 14th Int. Conference on Intelligent Engineering Systems INES 2010, 317–320, 2010. Las Palmas, Spain. ISBN 978-1-4244-7651

A. Procházka, O. Vyšata, and E. Jerhotová, Wavelet Use for Reduction of Watershed Transform Over-Segmentation in Biomedical Images Processing, In Proc. of the 10th International Conference on Inf. Technol. and App. in Biomedicine, 226p/1–4, 2010. Corfu, Greece. ISBN 978-1-4244-6560-6

P. Slavíková, M. Mudrová, and A. Procházka, Automatic Bioindicator Images Evaluation, In Proc. of the 14th IEEE International Conference on Intelligent Engineering Systems INES, 7/1–4, 2010. ISBN 978-1-4244-7651-0

O. Vyšata, L. Pazdera, A. Procházka, and J. Kukal, EEG synchronization and desynchronization pattern changes during cholinesterase inhibitors treatment in Alzheimer’s disease, International Journal of Neuropsychopharmacology, 13:141–141, 2010. ISSN 1461-1457

2009

E. Hošťálková, A. Procházka, M. Mudrová, A. Michalcová, Microscopic Texture Components Classification for Image Segmentation, In XVII European Signal Processing Conference EUSIPCO-2009, Glasgow, U.K., 2009. European Assoc. for Signal Processing.

O. Vyšata, A. Procházka, J. Kukal, Fluctuation of Complex Wavelet Coefficients Amplitude Correlation in EEG, In Proc. of the 16th Int. Conf. on Digital Signal Processing, Santorini, Greece, 2009

J. Krupa, A. Procházka, V. Hanta, R. Háva, Technical Computing Using Sybase Database for Biomedical Signal Analysis, In Proc. of the 17th Annual Conference Technical Computing, Prague, 2009

Z. Měřínský, E. Hošťálková, and A. Procházka, Brain Tumour Diagnostics Support Based on Medical Image Segmentation, In Proc. of the 17th Annual Conference Technical Computing Prague 2009, 071/1–7, 2009

2008

O. Vyšata, A. Procházka, J. Kukal, P. Bečvárovský, and L. Pazdera, Somatosenzorická protéza pro slepce, Česká a slovenská oftalmologie, 64(5):207–210, 2008. ISSN 1211-9059

A. Procházka, E. Hošťálková, A. Gavlasová, Wavelet Transform in Image Regions Classification, In Proceedings of the 8th IMA Conference on Mathematics in Signal Processing, The Institute of Mathematics and its Applications, Cirencester, U.K., 2008

A. Procházka, J. Kukal, O. Vyšata, Wavelet Transform Use for Feature Extraction and EEG Signal Classification , In Proc. of the 3rd Int. Conf. on Communications, Control and Signal Processing, Malta, 2008

A. Gavlasová, A. Procházka, J. Poživil, O. Vyšata, Functional Transforms in MR Image Segmentation , In Proc. of the 3rd Int. Conf. on Communications, Control and Signal Processing, Malta, 2008

A. Procházka, E. Hošťálková, O. Vyšata, Wavelet De-Noising and Gradient Enhancement in Biomedical Image Processing , In Proc. of the 8th Int. Conf. on Visualization, Imaging and Image Processing, Mallorca, Spain, 2008

A. Procházka, V. Bartošová, O. Vyšata, Multi-Channel Signal Segmentation and Classification, In Proc. of the 8th Int. Conf. on Visualization, Imaging and Image Processing, Mallorca, Spain, 2008

2007

A. Procházka, A. Pavelka, Feed-Forward and Reccurent Neural Networks in Signal Prediction , In Proceedings of the 5th IEEE Conference on Computational Cybernetics, Gamarth, Tunisia, 2007

E. Hošťálková, O. Vyšata, A. Procházka, Multi-Dimensional Biomedical Image De-Noising Using Haar Transform , In Proc. of the 15th Int. Conf. on Digital Signal Processing, Cardiff, U.K., 2007

J. Krupa, A. Pavelka, O. Vyšata, A. Procházka, Distributed Signal Processing , In Proc. of the 15th Annual Conference Technical Computing, Prague, 2007

E. Hošťálková, A. Procházka, Zpracování biomedicínských signálů a obrazů pomocí wavelet transformace, Automatizace, 50, 6, 2007

2006

A. Procházka, A. Gavlasová, O. Vyšata Texture Segmentation and Classification in Biomedical Image Processing, In Proceedings of the International Conference on Rescent Advances in Soft Computing RASC, Canterbury, U.K., 2006

A. Procházka, M. Kubíček, A. Pavelka Multicamera Systems in the Moving Body Recognition, In Proceedings of the 48th International Conference ELMAR, Zadar, Croatia, 2006

A. Gavlasová, A. Procházka, M. Mudrová, Wavelet Based Image Segmentation , In Proc. of the 14th Annual Conference Technical Computing, Prague, 2006

2005

A. Procházka, A. Gavlasová, A. Šindelářová Wavelet Transform in Biomedical Image Segmentation and Classification., In Proceedings of the International Workshop on Information Processing in Cells and Tissues, York, U.K., 2005

A. Procházka, A. Gavlasová Wavelet Transform in Classification of Biomedical Images, In Proceedings of the 3rd International Conference EMBEC, Praha, 2005

M. Kolínová, A. Procházka, M. Slavík, Satellite Images in Environmental Data Processing , In Proc. of the 13th Annual Conference Technical Computing, Prague, 2006

2004

J. Ptáček, A. Procházka, Wavelet Use for Image Restoration, In Proceedings of the Carpatian Control Conference, Zakopane, Poland, 2004

M. Kolínová, A. Procházka, M. Mudrová, K. Volka, Texture Image Analysis Using Wavelet Transform, In Proc. of the 9th Int. Conf. on Process Control, Kouty n.D., 2004

A. Procházka, J. Ptáček, Wavelet Transform Application in Biomedical Image Recovery and Enhancement, In Proceedings of the IEEE Conference on Systemics, Cybernetics and Informatics (SCI), Orlando, USA, 2004

A. Procházka, J. Ptáček, I. Šindelářová, Wavelet Transform in Signal and Image Restoration, In Proceedings of the IEE Conference on Control, Bath, U.K., 2004

2003

A. Procházka, I. Šindelářová, J. Ptáček Image De-noising and Restoration using Wavelet Transform. European Control Conference ECC '03, Cambridge, U.K., 2003

A. Procházka, M. Mudrová, Číslicové zpracování signálů při analýze koncentrace prachových částic v ovzduší. Automatizace 46, 8, 2003

A. Procházka, A. Pavelka, Fundamental Problems of Signal and Image Processing. ACHEMA 2003, Frankfurt am Main, May 19-24, 2003

2002

A. Pavelka and A. Procházka, Linear and Non-Linear Artificial Neural Networks in Signal Prediction, Proc. of the 5th Int. Conf. Process Control 2002, pages R187/1--15, 2002

A. Procházka, I. Šindelářová, M. Pánek, and J. Kukal, Wavelet Transform in Remote Signal and Image Processing, I Congreso International Sociedad de la Informacion CISIC 02, pages 261--267, 2002

A. Procházka, M. Pánek, V. Musoko, M. Mudrová, and J. Kukal, Decomposition and Reconstruction Methods in Biomedical Image Denoising, Proc. of 16th Biennial Int. EURASIP Conf. BIOSIGNAL 2002, pages 350--352, 2002

I. Šindelářová, J. Ptáček, and A. Procházka, Wavelet Transform in Signal De-Noising, Proc. of the 5th Int. Conf. Process Control 2002, pages R190/1--7, 2002

J. Kukal, D. Majerová, and A. Procházka, Fuzzy Prediction Based on Lukasiewicz Algebra, Neural Network World, 12(1):45--66, 2002

J. Kukal, M. Mudrová, D. Majerová, and A. Procházka, Standard and Fuzzy Edge Operators in Biomedical Image Analysis, Proc. of 16th Biennial Int. EURASIP Conf. BIOSIGNAL 2002, pages 338--340, 2002

J. Ptáček, I. Šindelářová, A. Procházka, and J. Smith, Wavelet Transforms in Signal and Image Resolution Enhancement, Proc. of 16th Conf. on Scientific Computing ALGORITMY 2002, pages 42--48, 2002

J. Ptáček, M. Pánek, and A. Procházka, Wavelet transformace ve zpracování diskrétních signálů, In Czech, Automatizace, 45(1):26--30, 2002

J. Ptáček, S. Vaseghi, and A. Procházka, Bayesian Methods of Image Components Reconstruction, Proc. of the 5th Int. Conf. Process Control 2002, pages R189/1--7, 2002

M. Slavík, M. Mudrová, and A. Procházka, Statistical Signal Processing of Environmental Signals, Proc. of the 5th Int. Conf. Process Control 2002, pages R197/1--7, 2002

2001

M. Pánek and A. Procházka, Principal Components Analysis in Biomedical Images, Proc. of the 13th Int. Conf. on Process Control PC '01, pages P111/1--4, 2001

M. Pánek and A. Procházka, Wavelet Decomposition of Biomedical Images, Proceedings of the Conference IEPC 200, pages 29--60, 2001

M. Pánek and A. Procházka, Remote Biomedical Image Processing Using MATLAB Web Server, Sborník příspěvků 9. ročníku konference MATLAB 2001, pages 330--333, 2001

2000

A. Procházka, M. Kolínová, J. Fiala, P. Hampl, K. Hlavatý, Satellite Image Processing in Air Pollution Detection, In Proc. of the IEEE ICASSP Conf., Istanbul, Turkey, 2000

J. Kukal, M. Pánek, A. Procházka, O. Vyšata, and J. Tintěra, Brain NMR Feature Extraction and Classification, Proceedings of the Conference Biosignal 2000, Brno, 2000

1999

M. Kolínová, A. Procházka, Two Dimensional Fourier Transform in Image Noise Rejection,. In Proceedings of the Third Scientific Conference on Process Control, Kouty nad Desnou, University of Pardubice, 1999.

M. Kolínová, A. Procházka, Median Filtering and Image Correlation for Air Pollution Detection,. In Proceedings of the Third Scientific Conference on Process Control, Kouty nad Desnou, University of Pardubice, 1999.

A. Procházka, Signal Analysis and Prediction in Information and Control Systems,. In Proceedings of the Third Scientific Conference on Process Control, Kouty nad Desnou, University of Pardubice, 1999.

A. Procházka, J. Stříbrský, Z. Kánský, Lineární modely predikce spotřeby plynu. In Czech, Plyn, Český plynárenský a naftový svaz, ISSN 0032-1761, 1999.

A. Procházka, J. Stříbrský, J. Ptáček, Z. Kánský, Užití umělých neuronových sítí v nelineárních modelech spotřeby plynu. In Czech, Plyn, Český plynárenský a naftový svaz, ISSN 0032-1761, 1999.

A. Procházka, M. Pánek, M. Kolínová, M. Mudrová, and J. Stříbrský, Wavelet transformace ve zpracování signálů, In Czech, Automa, 5(5-6):46--51, 1999

1998

A. Procházka, M. Kolínová, J. Stríbrský, Signal Segmentation Using Time-Scale Signal Analysis. In IX European Signal Processing Conference EUSIPCO-98, Island of Rhodes, Greece, 1998. European Assoc. for Signal Processing.

M. Kolínová, A. Procházka, M. Mudrová, Adaptive FIR Filter Use for Signal Noise Cancelling. In Neural Networks for Signal Processing 8 - Proceedings of the 1998 IEEE Workshop, Cambridge, England, 1998. IEEE SP Society.

A. Procházka, M. Mudrová, M. Štorek, Wavelet Use for Noise Rejection and Signal Modelling, In Signal Analysis and Prediction, Ed. A. Procházka, J. Uhlír, P.J.W. Rayner, N.G. Kingsbury, Birkhauser, Boston, 1998.

1997

A. Procházka, Neural Networks and Seasonal Time-Series Prediction, In Fifth International Conference on Artificial Neural Networks, Cambridge, England 1997. IEE.

M. Štorek, A. Procházka, Neural Networks in Signal Processing, In Proceedings of the International Conference ECSAP-97, Prague, 1997, European Assoc. for Signal Processing.

M. Mudrová, A. Procházka, J. Fiala, Wavelet Use for Noise rejection and Signal Modelling, In Proceedings of the International Conference ECSAP-97, Prague, 1997, European Assoc. for Signal Processing.

1996

A. Procházka, J. Smith, Multichannel Time-Series Modelling and Prediction by Wavelet Networks. In VIII European Signal Processing Conference EUSIPCO-96, Trieste, Italy, 1996. European Assoc. for Signal Processing.

1995

A. Procházka, M. Štorek, Wavelet Transform Use for Signal Classification by Self-Organizing Neural Networks. In Fourth International Conference on Artificial Neural Networks, Cambridge, England 1995. IEE.

V. Sýs, A. Procházka, RBF and Wavelet networks for Simulation and Prediction of Sulphur-Dioxide Air Pollution. In IXth European Simulation Multiconference, Prague, 1995.

1994

A. Procházka, V. Sýs, Time Series Prediction Using Genetically Trained Wavelet Networks. In Neural Networks for Signal Processing 3 - Proceedings of the 1994 IEEE Workshop, Ermioni, Greece, 1994. IEEE SP Society.

A. Procházka, V. Sýs, Application of Genetic Algorithms for Wavelet Networks Signal Modelling. In VII European Signal Processing Conference EUSIPCO-94, Edinburgh, Scotland, 1994. European Assoc. for Signal Processing.