Publications by Signal Processing & Machine Learning

Are you looking for publications by Section of Signal Processing & Machine Learning? On this page you can find all the publications made by the Section of Signal Processing & Machine Learning - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Dalgaard, E., Auken, E. & Larsen, J. J. (2012). Adaptive noise cancelling of multichannel magnetic resonance sounding signals. Geophysical Journal International, 191(1), 88-100. https://doi.org/10.1111/j.1365-246X.2012.05618.x

Kappel, S., Rathleff, M. S., Hermann, D., Simonsen, O., Karstoft, H. & Ahrendt, P. (2012). A Novel Method for Measuring In-Shoe Navicular Drop during Gait. Sensors, 12(9), 11697-711. https://doi.org/10.3390/s120911697

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). A Robust On-line Learning Algorithm for Type-2 Fuzzy Neural Networks and its Experimental Evaluation on an Autonomous Tractor. I Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on (s. 1652-1657). IEEE. https://doi.org/10.1109/ICSMC.2012.6377974

Steen, K. A., Villa-Henriksen, A., Therkildsen, O. R., Karstoft, H. & Green, O. (2012). Automatic Detection of Animals using Thermal Imaging. Afhandling præsenteret på Agriculture & Engineering for a Healthier Life, Valencia, Spanien. http://cigr.ageng2012.org/images/fotosg/tabla_137_C0392.pdf

Steen, K. A., Therkildsen, O. R., Karstoft, H. & Green, O. (2012). A Vocal-Based Analytical Method for Goose Behaviour Recognition. Sensors, 12, 3773-3788. https://doi.org/10.3390/s120303773

Naveed, K., Iqbal, J. & Ur Rehman, H. (2012). Brain controlled human robot interface. Proceedings of 2012 International Conference on Robotics and Artificial Intelligence, 55-60. https://doi.org/10.1109/ICRAI.2012.6413410

Larsen, J. J., Johansen, L. G. & Karstoft, H. (2012). Electrocardiogram Derived Respiration using an Evolutionary Algorithm. I S. V. Huffel, C. M. B. A. Correia, A. L. N. Fred & H. Gamboa (red.), BIOSIGNALS 2012: Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (s. 147-152). SCITEPRESS Digital Library.

Midtiby, H., Mosgaard Giselsson, T. & Jørgensen, R. N. (2012). Estimating plant stem emerging points (PSEPs) of sugar of beets in early growth stages. Biosystems Engineering, 111(1), 83-90. https://doi.org/10.1016/j.biosystemseng.2011.10.011

Jensen, K., Larsen, L. B., Olsen, K. S., Hansen, J. & Jørgensen, R. N. (2012). First results: Robot mapping of areas contaminated by landmines and unexploded ordnance. https://www.researchgate.net/publication/348751530_First_results_Robot_mapping_of_areas_contaminated_by_landmines_and_unexploded_ordnance

Bach, P. D., Jørgensen, R. N. & Jensen, K. (2012). Fremtidens landbrugsmaskiner kører selv. Dagbladet Holstebro-Struer, 14-15. https://docs.google.com/open?id=0B7n4HMXh8Cx3Qk1DTHRfMHo2ZEU

Chavez Plascencia, A. & Karstoft, H. (2012). Improvement of KinectTM Sensor Capabilities by Fusion with Laser Sensing Data Using Octree. Sensors, 12, 3868-3878. https://doi.org/10.3390/s120403868

Kayacan, E., Saeys, W., Kayacan, E., Ramon, H. & Kaynak, O. (2012). Intelligent Control of a Tractor-Implement System Using Type-2 Fuzzy Neural Networks. I Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on (s. 1-8). IEEE . https://doi.org/10.1109/FUZZ-IEEE.2012.6250790

Kusk, K., Nielsen, D. B., Thylstrup, T., Rasmussen, N. H., Jørvang, J., Pedersen, C. F. & Wagner, S. R. (2012). Lessons Learned From a Lightweight Context-Aware System for Achieving Reliable Home Blood Pressure Self-Measurements. Afhandling præsenteret på NordiCHI 2012, The Nordic Conference on Human-Computer Interaction, Copenhagen, Danmark.

Larsen, J. J., Dalgaard, E. B. & Auken, E. (2012). Model-based cancelling of powerline harmonics in multichannel MRS recordings. Abstract fra Magnetic Resonance in the Subsurface, Hannover, Tyskland.

Dalgaard, E., Auken, E. & Larsen, J. J. (2012). Model-based noise cancelling of multichannel magnetic resonance sounding measurements. I Near Surface Geoscience 2012 European Association of Geoscientists and Engineers, EAGE. http://www.scopus.com/inward/record.url?scp=84898482260&partnerID=8YFLogxK

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Model Predictive Control of the Yaw Dynamics of an Autonomous Tractor. I A. Peruzzi (red.), : Proceedings of the First International Conference on Robotics and Associated High-technologies and Equipment for Agriculture. Applications of automated systems and robotics for crop protection in sustainable precision agriculture (s. 157-162). University of Pisa.

Shahrak Nadimi, E. & Jørgensen, R. N. (2012). MoDest GrassUp. (Patentnummer DK2010/050334).

Midtiby, H., Laursen, M. S., Jørgensen, R. N. & Krüger, N. (2012). MODICOVI - Monocot and dicot coverage ratio vision based method for real time estimation of canopy coverage ratio between cereal and dicotyledon weeds.

S. Nadimi, E., Jørgensen, R. N., Blanes-Vidal, V. & Christensen, S. (2012). Monitoring and classifying animal behavior using ZigBee-based mobile ad hoc wireless sensor networks and artificial neural networks. Computers and Electronics in Agriculture, 82, 44-54. https://doi.org/10.1016/j.compag.2011.12.008

Kristensen, M. V., Ahrendt, P., Lindballe, T. B., Nielsen, O. H. A., Kylling, A. P., Karstoft, H., Imparato, A., Rigau, L. H., Stadler, B., Stapelfeldt, H. & Keiding, S. R. (2012). Motion analysis of optically trapped particles and cells using 2D Fourier analysis. Optics Express, 20(3), 1953-1962. https://doi.org/10.1364/OE.20.001953

Ahmed, M. U., Rehman, N., Looney, D., Rutkowski, T. M., Kidmose, P. & Mandic, D. P. (2012). Multivariate entropy analysis with data-driven scales. I 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (s. 3901-3904). IEEE. https://doi.org/10.1109/icassp.2012.6288770, https://doi.org/10.1109/ICASSP.2012.6288770

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Neuro-Fuzzy Control with a Novel Training Method Based-on Sliding Mode Control Theory: Application to Tractor Dynamics. I IFAC Proceedings Volumes (22 udg., Bind 45, s. 889-894). Elsevier. https://doi.org/10.3182/20120905-3-HR-2030.00014

Dalgaard, E. B., Auken, E. & Larsen, J. J. (2012). Optimized Wiener filtering with the Numis Poly system. Abstract fra Magnetic Resonance in the Subsurface, Hannover, Tyskland.

Kayacan, E. & Kaynak, O. (2012). Sliding Mode Control Theory-based Algorithm for Online Learning in Type-2 Fuzzy Neural Networks: Application to Velocity Control of an Electro Hydraulic Servo System. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 26(7), 645-659. https://doi.org/10.1002/acs.1292

Laursen, M. S., Midtiby, H., Krüger, N. & Jørgensen, R. N. (2012). Spray boom for selectively spraying a herbicidal composition onto dicots. (Patentnummer WO 2012/122988 A1).

Laursen, M. S., Midtiby, H., Jørgensen, R. N. & Krüger, N. (2012). Validation of Modicovi - Monocot and Dicot Coverage Ration Vision based method for real time estimation of Canopy Coverage Ration between Cereal Crops and Dicotyledon Weeds.

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Velocity Control of a Spherical Rolling Robot Using a Grey-PID Type Fuzzy Controller With an Adaptive Step Size. I IFAC Proceedings Volumes (22 udg., Bind 45, s. 863-868). Elsevier. https://doi.org/10.3182/20120905-3-HR-2030.00123

Steen, K. A., Therkildsen, O. R., Karstoft, H. & Green, O. (2012). Video-Based Detection of Goose Behaviours. Afhandling præsenteret på Agriculture & Engineering for a Healthier Life, Valencia, Spanien. http://cigr.ageng2012.org/images/fotosg/tabla_137_C0358.pdf

Steen, K. A., Therkildsen, O. R., Karstoft, H. & Green, O. (2012). Wildlife Communication: Electrical and Computer Engineering. Aarhus University, Department of Engineering. Technical report Nr. ECE-TR-7 https://pure.au.dk/portal/files/45572923/samlet_TCR_7_ver2.pdf

Pedersen, C. F. (2012). Z-transform Zeros in Mixed Phase Deconvolution of Speech. Aalborg University, Faculty of Engineering and Science, Dept. of Electronic Systems, Niels Jernes Vej 10, 9220 Aalborg East, Denmark.

Pedersen, C. F., Andersen, O. & Dalsgaard, P. (2011). Adaptive Estimation of Zeros of Time-Varying Z-Transforms. Proceedings of the International Conference on Spoken Language Processing.

Jacobsen, R. H., Hansen, F. O., Madsen, J. K., Karstoft, H., Mikkelsen, P. H., Skogberg, T. A., Rasmussen, E. S., Andersen, C., Alrøe, M. & Toftegaard, T. S. (2011). A Modular Platform for Wireless Body Area Network Research and Real-life Experiments: The ASE-BAN Testbed. International Journal on Advances in Networks and Services, 4(3-4), 257-277. http://www.iariajournals.org/networks_and_services/netser_v4_n34_2011_paged.pdf

Steen, K. A., Karstoft, H. & Green, O. (2011). A Multimedia Capture System for Wildlife Studies. Afhandling præsenteret på The Third International Conference on Emerging Network Intelligence, Lissabon, Portugal. http://www.thinkmind.org/index.php?view=article&articleid=emerging_2011_6_50_40032

Ahmadieh Khanesar, M., Kayacan, E., Teshnelab, M. & Kaynak, O. (2011). Analysis of the Noise Reduction Property of Type-2 Fuzzy Logic Systems Using a Novel Type-2 Membership Function. IEEE Transactions on Cybernetics, 41(5), 1395-1406. https://doi.org/10.1109/TSMCB.2011.2148173

Ahmadieh Khanesar, M., Kayacan, E., Kaynak, O. & Teshnelab, M. (2011). An Online Training Algorithm Based on the Fusion of Sliding Mode Control Theory and Fuzzy Neural Networks with Triangular Membership Functions. I Control Conference (ASCC), 2011 8th Asian (s. 617-622). IEEE . https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5899143

Kayacan, E., Cigdem, O. & Kaynak, O. (2011). A Novel Training Method Based-on Variable Structure Systems Approach for Interval Type-2 Fuzzy Neural Networks. I Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2011 IEEE Symposium on (s. 142-149). IEEE. https://doi.org/10.1109/T2FUZZ.2011.5949557

Cigdem, O., Kayacan, E., Ahmadieh Khanesar, M., Kaynak, O. & Teshnelab, M. (2011). A Novel Training Method Based-on Variable Structure Systems Theory for Fuzzy Neural Networks. I Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on (s. 44-51). IEEE . https://doi.org/10.1109/CICA.2011.5945757

Kayacan, E., Oniz, Y., Cisel Aras, A., Kaynak, O. & H. Abiyev, R. (2011). A Servo System Control with Time-varying and Nonlinear Load Conditions Using Type-2 TSK Fuzzy Neural System. Applied Soft Computing, 11(8), 5735-5744. https://doi.org/10.1016/j.asoc.2011.03.008

Green, O. & Jørgensen, R. N. (2011, aug. 16). Automatic GPS refereed Image Acquisition.

Aslund, S., Jensen, K. & Jørgensen, R. N. (2011). Complete coverage path planning of a random polygon - A FroboMind component. http://www.njf.nu/site/seminarRedirect.asp?intSeminarID=441&p=1004

Ahrendt, P., Gregersen, T. & Karstoft, H. (2011). Development of a real-time computer vision system for tracking loose-housed pigs. Computers and Electronics in Agriculture, 76(2), 169-174. https://doi.org/10.1016/j.compag.2011.01.011

S. Nadimi, E., Blanes-Vidal, V., Jørgensen, R. N. & Christensen, S. (2011). Energy generation for an ad hoc wireless sensor network-based monitoring system using animal head movement. Computers and Electronics in Agriculture, 75(2), 238-242. https://doi.org/10.1016/j.compag.2010.11.008

Cigdem, O., Kayacan, E. & Kaynak, O. (2011). Experimental Study of an Interval Type-2 Fuzzy Neural Network Using Sliding-Mode Online Learning Algorithm. I Control Conference (ASCC), 2011 8th Asian (s. 1181-1186). IEEE. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5899240

Ahmadieh Khanesar, M., Kayacan, E., Teshnelab, M. & Kaynak, O. (2011). Extended Kalman Filter Based Learning Algorithm for Type-2 Fuzzy Logic Systems and its Experimental Evaluation. IEEE Transactions on Industrial Electronics, 59(11), 4443-4455. https://doi.org/10.1109/TIE.2011.2151822

Rehman, N. U. & Mandic, D. P. (2011). Filter Bank Property of Multivariate Empirical Mode Decomposition. IEEE Transactions on Signal Processing, 59(5), 2421-2426. https://doi.org/10.1109/tsp.2011.2106779

Sveistrup, D., Jørgensen, R. N., Green, O., Nørremark, M. & Sørensen, C. A. G. (2011). Fremtidens markforsøg. http://pure.agrsci.dk:8080/research/fremtidens_markforsoeg(4162764)/

Jensen, K., Bøgild, A., Nielsen, S. H., Christiansen, M. P. & Jørgensen, R. N. (2011). FroboMind, proposing a conceptual architecture for agricultural field robot navigation. http://www.njf.nu/site/seminarRedirect.asp?intSeminarID=441&p=1004

Bertelsen, K. K., Duzel, J., Nielsen, S. H. & Jørgensen, R. N. (2011). FruitGrowth - Gasburning in Orchards - Environment friendly weed control. http://www.horteam-expo.dk/

Nielsen, S. H., Bøgild, A., Jensen, K., Kjærhus Bertelsen, K. & Jørgensen, R. N. (2011). Implementations of FroboMind using the Robot Operating System framework. http://www.njf.nu/site/seminarRedirect.asp?intSeminarID=441&p=1004

Jørgensen, R. N. (2011). Leg med store perspektiver. Land&Liv, 2011(uge 25), 13. http://www.e-pages.dk/landogliv/5/13

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Revideret 13.11.2025

AU Engineering