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Department of Electrical and Computer Engineering

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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Ma, X., J. Hegarty, P., Abildgaard Pedersen, J. & Larsen, J. J. (2018). Impact of loudspeaker nonlinear distortion on personal sound zones. Acoustical Society of America. Journal, 143(51), 51-59. https://doi.org/10.1121/1.5019476

Olesen, C. R., Nyholm Jørgensen, R., Laursen, M. S., Larsen, R. & Rosendahl Bjorholm, S. (2017). Høstdrab af rådyr: analyse af høstdrabsproblemets omfang i Danmark samt test af dronebåret losurin som afværgemetode. Danmarks Jægerforbund. http://udgivelser.jaegerforbundet.dk/2017/foldere-og-tryksager/hoestdrab-af-raadyr-analyse-af-hoestdrabsproblemets-omfang-i-danmark-samt-test-af-dronebaaret-losurin-som-afvaergemiddel/?page=2

Olesen, C. R., Nyholm Jørgensen, R., Laursen, M. S., Larsen, R. & Rosendahl Bjorholm, S. (2017, Jun 1). Droner og losurin. Danmarks Jægerforbund. http://www.jaegerforbundet.dk/om-dj/nyhedsarkiv/2017/droner-og-losurin/

Teimouri, N., Omid, M., Mollazade, K., Mousazadeh, H., Alimardani, R. & Karstoft, H. (2018). On-line separation and sorting of chicken portions using a robust vision-based intelligent modelling approach. Biosystems Engineering, 167, 8-20. https://doi.org/10.1016/j.biosystemseng.2017.12.009

Hein, A., Larsen, J. J. & D. Parsekian, A. (2017). Removal of Harmonic Noise from Surface Nuclear Magnetic Resonance Measurements in the Frequency Domain. Poster session presented at SAGEEP 2017, Denver, United States.

Ma, X., J. Hegarty, P., Abildgaard Pedersen, J., Johansen, L. G. & Larsen, J. J. (2017). Assessing the Influence of Loudspeaker Driver Nonlinear Distortion on Personal Sound Zones. In 142nd Audio Engineering Society International Convention 2017 (Vol. 2, pp. 1019-1026). Article 9807 Audio Engineering Society . http://www.aes.org/e-lib/browse.cfm?elib=18681

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2018). Removal of Co-Frequency Powerline Harmonics From Multichannel Surface NMR Data. IEEE Geoscience and Remote Sensing Letters, 15(1), 53-57. https://doi.org/10.1109/LGRS.2017.2772790

Larsen, J. J., Liu, L., Grombacher, D. J. & Auken, E. (2018). Removal of Co-frequency Powerline Harmonics from Multichannel Surface NMR Data. In 23rd European Meeting of Environmental and Engineering Geophysics 2017 (Vol. 15, pp. 53-57). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702040

Liu, L., Grombacher, D. J., Auken, E. & Larsen, J. J. (2017). A Multichannel, Low Noise Surface NMR Receiver System with Wireless Connections to Signal and Reference Coils. In 23rd European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702012

Rasmussen, S., Skovgaard Nyboe, N., Mai, S. & Larsen, J. J. (2018). Extraction and use of noise models from transient electromagnetic data. Geophysics, 83(1), E37-E46. https://doi.org/10.1190/geo2017-0299.1

Skovsen, S., Dyrmann, M., Mortensen, A. K., Steen, K. A., Green, O., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2017). Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. Sensors, 17(12), Article 2930. https://doi.org/10.3390/s17122930

Mortensen, A. K., Karstoft, H., Søegaard, K., Gislum, R. & Nyholm Jørgensen, R. (2017). Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis. Journal of Imaging, 3(4), Article 59. https://doi.org/10.3390/jimaging3040059

Christiansen, M. P., Laursen, M. S., Nyholm Jørgensen, R., Skovsen, S. & Gislum, R. (2017). Designing and Testing a UAV Mapping System for Agricultural Field Surveying. Sensors, 17(12), Article 2703. https://doi.org/10.3390/s17122703

Giselsson, T. M., Nyholm Jørgensen, R., Jensen, P. K., Dyrmann, M. & Midtiby, H. S. (2017). A Public Image Database for Benchmark of Plant Seedling Classification Algorithms. arxiv.org. https://arxiv.org/pdf/1711.05458

Nyholm Jørgensen, R. & Skovsen, S. (2017). Automatisk kløvergræsestimering. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=Kx_8ku90XO4&t=955s

Nyholm Jørgensen, R. & Dyrmann, M. (2017). Automatisk genkendelse af ukrudt. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=xw9p3S-GZG8&t=794s

Nyholm Jørgensen, R. (2017). Metatilgangen til Deep Learning. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=moLU3QvWIRM&t=355s

Sørensen, R. A., Rasmussen, J., Nielsen, J. & Nyholm Jørgensen, R. (2017). Thistle detection using convolutional neural networks: EFITA 2017 Presentation. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=_G_xLchBOl4

Lausdahl, K. G., Bjerge, K., Bokhove, T., Groen, F. & Larsen, P. G. (2017). Transitioning from Crescendo to INTO-CPS. In J. S. Fitzgerald, P. W. V. Tran-Jørgensen & T. Oda (Eds.), The 15th Overture Workshop: New Capabilities and Applications for Model-based Systems Engineering: Proceedings (pp. 16-30). Newcastle University.

Malekian, R., Thakur, A., Nair, L. & Pedersen, C. F. (2018). A Sensor Based Peer to Peer Vehicle Data Sharing System, An Internet of Vehicles Approach. Journal of Internet Technology, 19(7), 2155-2162. https://doi.org/10.3966/160792642018121907018

Miranda, J., Cabral, J., Banerjee, S., Grossmann, D., Pedersen, C. F. & Wagner, S. R. (2017). Analysis of OPC Unified Architecture for Healthcare Applications. In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017: EFTA 2017 (pp. 1-4). IEEE. https://doi.org/10.1109/ETFA.2017.8247771

Christiansen, M. P., Nyholm Jørgensen, R., Laursen, M. S. & Gislum, R. (2017). UAV LIDAR biomass estimation/Using Sentinel-1 to estimate yield potential. Poster session presented at DIGIT, Aarhus, Denmark.

Kragh, M. F., Christiansen, P., Laursen, M. S., Larsen, M., Steen, K. A., Green, O., Karstoft, H. & Jørgensen, R. N. (2017). FieldSAFE: Dataset for Obstacle Detection in Agriculture. Sensors, 17(11), Article 2579. https://doi.org/10.3390/s17112579

Madsen, S. L., Karstoft, H., Nyholm Jørgensen, R., Nørremark, M., Khokhar, Y., Gomez, J. S., pier van Gosliga, S. & Jaakkola, K. (2017). Quantifying behaviour of dairy cows via multi-stage Support Vector Machines. In D. Berckmans & A. Keita (Eds.), Book of proceedings: 8th European Conference on Precision Livestock Farming: ECPLF 2017 (pp. 90-100)

Rasmussen, S., Nyboe, S. N., Mai, S. S. & Larsen, J. J. (2017). A Robust Framework for Cancellation of MSK Interference in TEM Data. In 2nd European Airborne Electromagnetics Conference 2017, Held at Near Surface Geoscience Conference and Exhibition 2017 (pp. 121-125). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.201702172

Rasmussen, S., Skovgaard Nyboe, N., Mai, S. & Larsen, J. J. (2017). Noise properties of Fourier deconvolution for time-domain electromagnetic soundings. Geophysics, 82(5), E257-E266. https://doi.org/10.1190/geo2016-0588.1

Dyrmann, M., Nyholm Jørgensen, R. & Midtiby, H. S. (2017). Detection of weed locations in leaf occluded cereal crops using a fully convolutional neural network. Advances in Animal Biosciences, 8(2), 842-847. https://doi.org/10.1017/S2040470017000206

Nielsen, P. R., Jensen, N.-P., Dyrmann, M., Nielsen, P.-H. & Nyholm Jørgensen, R. (2017). RoboWeedSupport - Presentation of a cloud based system bridging the gap between in-field weed inspections and decision support systems. Advances in Animal Biosciences, 8(2), 860-864. https://doi.org/10.1017/S2040470017001054

Nyholm Jørgensen, R., Sørensen, R. A., Laursen, M. S., Rasmussen, J. & Nielsen, J. (2017). FutureCropping Generering af tidselkort med Pix4D, DeepLearning og QGIS 18AUG2017. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=3X8h4U4o2-o

Nyholm Jørgensen, R. & Laursen, M. S. (2017). RoboWeedMaPS - First Grass-weed field inspection in Winter Wheat using DJI Goggles. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=Yma1Psi9OEw

Nyholm Jørgensen, R., Nielsen, E. D. & Madsen, S. L. (2017). RoboWeedMaPS - Demo DroneApp beta med DJI Phantom 4. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=PQ6sSIk7-0s

Sridharan, K. S., Højlund, A., Johnsen, E. L., Sunde, N., Johansen, L. G., Beniczky, S. & Østergaard, K. (2017). Differentiated effects of deep brain stimulation and medication on somatosensory processing in Parkinson's disease. Clinical Neurophysiology, 128(7), 1327-1336. https://doi.org/10.1016/j.clinph.2017.04.014

Laursen, M. S., Nyholm Jørgensen, R., Gislum, R. & Christiansen, M. P. (2017). First attempt at crop mapping with Velodyne VLP16 and Matrice 100. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=rzTScFbkdG0

Jeppesen, J. H., Jacobsen, R. H., Nyholm Jørgensen, R., Halberg, A. & Toftegaard, T. S. (2017). Identification of High-Variation Fields based on Open Satellite Imagery. Advances in Animal Biosciences, 8(2), 388-393. https://doi.org/10.1017/S2040470017000693

Laursen, M. S., Nyholm Jørgensen, R., Dyrmann, M. & Poulsen, R. (2017). RoboWeedSupport: Sub Millimeter Weed Image Acquisition in Cereal Crops with Speeds up till 50 Km/h. World Academy of Science, Engineering and Technology. Proceedings, 4(4), 1391. https://www.waset.org/abstracts?q=Mads%20Dyrmann

Madsen, S. L., Laursen, M. S., Poulsen, R. N. & Nyholm Jørgensen, R. (2017). RoboWeedSupport: Semi-automated Unmanned Aerial System for Cost Efficient High Resolution in Sub-millimeter Scale Acquisition of Weed Images. In 19th International Conference on Precision Agriculture: ICPA 2017

Skov, K., Mandrup, L., Johannsen, L. & Lysgaard, P. (2001). Grundlæggende EMC I: Fænomener og konstruktionsprincipper. In Grundlæggende EMC I: Fænomener og konstruktionsproncipper (1.3 ed., Vol. T-306, pp. 164).

Nyholm Jørgensen, R. & Madsen, S. L. (2017). RoboWeedMaPS - First Automated Weed Mapping test flight with DJI Phantom 4 Pro. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=-dHMbt9rwak

Sørensen, R. A., Skovsen, S., Christiansen, P. & Karstoft, H. (2017). Embedded Visual Perception for Autonomous Agricultural Machines Using Lightweight Convolutional Neural Networks. International Journal of Agricultural and Biosystems Engineering, 11(4), 1296. Article 63060. https://www.waset.org/abstracts/63060

Laursen, M. S., Nyholm Jørgensen, R., Skov Midtiby, H., Mortensen, A. K. & Santhome, S. (2017). Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops: Statistical Evaluation of the Potential Herbicide Savings. International Journal of Agricultural and Biosystems Engineering, 11(4), 1285. https://www.waset.org/abstracts/62424

Laursen, M. S., Nyholm Jørgensen, R., Dyrmann, M. & Poulsen, R. (2017). RoboWeedSupport - Sub Millimeter Weed Image Acquisition in Cereal Crops with Speeds up till 50 Km/h. International Journal of Agricultural and Biosystems Engineering, 11(4), 311-315. http://waset.org/publications/10007027/roboweedsupport-sub-millimeter-weed-image-acquisition-in-cereal-crops-with-speeds-up-till-50-km-h

Olsson, P.-I., Fiandaca, G., Larsen, J. J., Dahlin, T. & Auken, E. (2016). Doubling the spectrum of time-domain induced polarization: removal of non-linear self-potential drift, harmonic noise and spikes, tapered gating, and uncertainty estimation. Abstract from IP2016 - 4th International Workshop on Induced Polarization, Aarhus , Denmark.

Gislum, R. & Nyholm Jørgensen, R. (2016). Pilotprojekt vedr. billedanalyse på golfbaner med henblik på reduktion i pesticidforbruget og implementering af IPM.

Fiandaca, G., Olsson, P. I., Larsen, J. J., Dahlin, T. & Auken, E. (2016). Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift/spike removal and tapered gating. In 22nd European Meeting of Environmental and Engineering Geophysics, Near Surface Geoscience 2016 European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.201602021

Christiansen, P., Kragh, M. F., Steen, K. A., Karstoft, H. & Nyholm Jørgensen, R. (2017). Platform for evaluating sensors and human detection in autonomous mowing operations. Precision Agriculture, 18(3), 350-365. https://doi.org/10.1007/s11119-017-9497-6

Nyholm Jørgensen, R., Madsen, S. L. & Laursen, M. S. (2016). RoboWeedSupport - Weed Mapping with drones using a DJI Matrice 100 with a Velodyne Lidar.. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=91LaKHiHiDw

Rasmussen, S., Skovgaard Nyboe, N. & Larsen, J. J. (2016). Extraction and Use of Noise Models from Production-Mode Transient Electromagnetic Data. Abstract from AGU Fall Meeting 2016, San Francisco, California, United States. https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/168217

Hein, A., Larsen, J. J. & D. Parsekian, A. (2017). Symmetry based frequency domain processing to remove harmonic noise from surface nuclear magnetic resonance measurements. Geophysical Journal International, 208(2), 724-736. https://doi.org/10.1093/gji/ggw433

Miranda, J., Cabral, J., Wagner, S. R., Pedersen, C. F., Ravelo, B., Memon, M. & Mathiesen, M. (2016). An Open Platform for Seamless Sensor Support in Healthcare for the Internet of Things. Sensors, 16(12), Article 2089. https://doi.org/10.3390/s16122089

Larsen, P. G., Kristiansen, E. L., Bennedsen, J. & Bjerge, K. (2017). Enhancing non-technical skills by a multidisciplinary engineering summer school. European Journal of Engineering Education, 42(6), 1076-1096. https://doi.org/10.1080/03043797.2016.1261278

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AU Engineering