Jan Lundgren
Universitetslektor|Senior Lecturer
- Professional title: Senior Lecturer
- Academic title: Senior lecturer
- Telephone: +46 (0)10-1428556
- Email: jan.lundgren@miun.se
- Location: Sundsvall
- Employee in the subject: Electronics, Electrical Engineering
- STC Research Centre
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Research centers:
Research projects
Current
AISound – Acoustic sensor array design for AI monitoring systems
DigiTube - Digitized in-line measurement and analysis of surface defects on tubes
Finished
MiLo — environment in the control loop
SURF - Surface characterization of industrial large area products
Publications
Articles in journals
Chapters in books
Conference papers
Doctoral theses, comprehensive summaries
Licentiate theses, comprehensive summaries
Manuscripts
Articles in journals
Jiang, M. , Nnonyelu, C. J. , Lundgren, J. , Thungström, G.
&
Sjöström, M. (2023). A Coherent Wideband Acoustic Source Localization Using a Uniform Circular Array. Sensors, vol. 23: 11
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Nie, Y. , Sommella, P. , Carratù, M. , O'Nils, M.
&
Lundgren, J. (2023). A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss. Diagnostics, vol. 13: 1
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Nnonyelu, C. J. , Jiang, M.
&
Lundgren, J. (2023). Spherical-sector harmonics domain processing for wideband source localization using spherical-sector array of directional microphones. Journal of the Acoustical Society of America, vol. 153: 3_supplement, pp. A54-A54.
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Carratù, M. , Gallo, V. , Liguori, C. , Lundgren, J. , O'Nils, M.
&
Pietrosanto, A. (2023). Vision-Based System for Measuring the Diameter of Wood Logs. IEEE Open Journal of Instrumentation and Measurement, vol. 2, pp. 1-12.
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Tran, T. , Truong Pham, N.
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Lundgren, J. (2022). A deep learning approach for detecting drill bit failures from a small sound dataset. Scientific Reports, vol. 12
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Nnonyelu, C. J. , Jiang, M.
&
Lundgren, J. (2022). A Lower Bound on the Estimation Variance of Direction-of-Arrival and Skew Angle of a Biaxial Velocity Sensor Suffering from Stochastic Loss of Perpendicularity. Sensors, vol. 22: 21
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Carratù, M. , Liguori, C. , Paciello, V. , Pietrosanto, A. , Russo, D. , Sommella, P.
&
Lundgren, J. (2022). A Sound Level Meter featured with automatic estimation of the measurement uncertainty. Measurement, vol. 188
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Hussain, M. , O'Nils, M. , Lundgren, J.
&
Shallari, I. (2022). A Study on the Correlation between Change in the Geometrical Dimension of a Free-Falling Molten Glass Gob and Its Viscosity. Sensors, vol. 22: 2, pp. 661-661.
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Nie, Y. , Sommella, P. , Carratu, M. , Ferro, M. , O'Nils, M.
&
Lundgren, J. (2022). Recent Advances in Diagnosis of Skin Lesions using Dermoscopic Images based on Deep Learning. IEEE Access, vol. 10, pp. 95716-95747.
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Hussain, M. , O'Nils, M.
&
Lundgren, J. (2021). Multi-Camera Based Setup for Geometrical Measurement of Free-Falling Molten Glass Gob. Sensors, vol. 21: 4
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Brugés Martelo, J. M. , Lundgren, J.
&
Andersson, M. (2021). Paperboard Coating Detection Based on Full-Stokes Imaging Polarimetry. Sensors, vol. 21: 1
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Liguori, C. , Ruggiero, A. , Russo, D. , Sommella, P.
&
Lundgren, J. (2021). Proposal for the automatic evaluation of workers' exposure to acoustic noise following task-based approach. Measurement, vol. 173
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Brugés Martelo, J. M. , Thim, J. , Andersson, M.
&
Liguori, C. (2021). Three-dimensional scanning electron microscopy used as a profilometer for the surface characterization of polyethylene-coated paperboard. Nordic Pulp & Paper Research Journal, vol. 36: 2, pp. 276-283.
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Pasha, S. , Lundgren, J. , Ritz, C.
&
Zou, Y. (2020). Distributed microphone arrays, emerging speech and audio signal processing platforms : A review. Advances in Science, Technology and Engineering Systems, vol. 5: 4, pp. 331-343.
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Tran, T.
&
Lundgren, J. (2020). Drill Fault Diagnosis Based on the Scalogram and Mel Spectrogram of Sound Signals Using Artificial Intelligence. IEEE Access, vol. 8, pp. 203655-203666.
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Thim, J. , Reza, S. , O'Nils, M.
&
Norlin, B. (2015). X-ray imaging of high velocity moving objects by scanning summation using a single photon processing system. Journal of Instrumentation,
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Reza, S. , Pelzer, G. , Weber, T. , Fröjdh, C. , Bayer, F. , Anton, G. , Rieger, J. , Thim, J. & et al. (2014). Investigation on the directional dark-field signals from paperboards using a grating interferometer. Journal of Instrumentation, vol. 9, pp. Art. no. C04032
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Alam, M. A. , O'Nils, M. , Manuilskiy, A. , Thim, J.
&
Westerlind, C. (2014). Limitation of a line-of-light online paper surface measurement system. IEEE Sensors Journal, vol. 14: 8, pp. 2715-2724.
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Alam, M. A. , O'Nils, M. , Manuilskiy, A.
&
Thim, J. (2014). Real time surface measurement technique in a wide range of wavelengths spectrum. IEEE Sensors Journal, vol. 14: 1, pp. 285-294.
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Reza, S. , Norlin, B. , Thim, J. & Fröjdh, C. (2013). Non-Destructive Method to Resolve the Core and the Coating on Paperboard by Spectroscopic X-ray Imaging. Nordic Pulp & Paper Research Journal, vol. 28: 3, pp. 439-442.
Alam, A. , Thim, J. , O'Nils, M. , Manuilskiy, A. , Lindgren, J.
&
Lidén, J. (2012). Online surface characterization of paper and paperboards in a wide-range of the spatial wavelength spectrum. Applied Surface Science, vol. 258: 20, pp. 7928-7935.
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Alam, A. , Manuilskiy, A. , Thim, J. , O'Nils, M. , Lindgren, J.
&
Lidén, J. (2012). Online surface roughness characterization of paper and paperboard using a line of light triangulation technique. Nordic Pulp & Paper Research Journal, vol. 27: 3, pp. 662-670.
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Reza, S. , Wong, W. , Fröjdh, E. , Norlin, B. , Fröjdh, C. , Thungstörm, G.
&
Thim, J. (2012). Smart dosimetry by pattern recognition using a single photon counting detector system in time over threshold mode. Journal of Instrumentation, vol. 7: 1, pp. Art. no. C01027
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Alam, M. A. , Thim, J. , Manuilskiy, A. , O'Nils, M. , Westerlind, C. , Lindgren, J. & Lidén, J. (2011). Investigation of the surface topographical differences between the Cross Direction and the Machine Direction for newspaper and paperboard. Nordic Pulp & Paper Research Journal, vol. 26: 4, pp. 468-475.
Thim, J. , Norlin, B. , O'Nils, M. , Abdalla, S.
&
Oelmann, B. (2011). Realizing increased sub-pixel spatial resolution in X-ray imaging using displaced multiple images. Nuclear Instruments and Methods in Physics Research Section A, vol. 633: Suppl 1, pp. S247-S249.
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Thim, J. , Reza, S. , Nawaz, K. , Norlin, B. , O´Nils, M.
&
Oelmann, B. (2011). Suitable Post Processing Algorithms for X-Ray Imaging using Oversampled Displaced Multiple Images. Journal of Instrumentation, vol. 6: 2, pp. Art. no. C02001
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O'Nils, M. , Thim, J. , Norlin, B.
&
Oelmann, B. (2009). Threshold Modulation for Continuous Energy Resolution with Two Channels per Pixel in a Photon Counting X-ray Image Detector. Nuclear Instruments and Methods in Physics Research Section A, vol. 607: 1, pp. 236-239.
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Lundgren, J. , O'Nils, M. , Oelmann, B. , Norlin, B.
&
Abdalla, S. (2007). An Area Efficient Readout Architecture for Photon Counting Color Imaging. Nuclear Instruments and Methods in Physics Research Section A, vol. 576: 1, pp. 132-136.
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Lundgren, J. , Abdalla, S. , O'Nils, M.
&
Oelmann, B. (2007). Power Distribution and Substrate Noise Coupling Investigations on the Behavioral Level for Photon Counting Imaging Readout Circuits. Nuclear Instruments and Methods in Physics Research Section A, vol. 576: 1, pp. 113-117.
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Lundgren, J. , Abdalla, S. , O'Nils, M.
&
Oelmann, B. (2006). Evaluation of Mixed-Signal Noise Effects in Photon Counting X-Ray Image Sensor Readout Circuits. Nuclear Instruments and Methods in Physics Research Section A, vol. 563: 1, pp. 88-91.
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Chapters in books
Thim, J.
&
Norlin, B. (2009). Noise Coupling in Digital X-Ray Imaging.
In
Medical Imaging: Principles, Detectors, and Electronics. Hoboken : Wiley-Blackwell.
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Conference papers
Hussain, M. , O'Nils, M. , Lundgren, J. , Akbari-Saatlu, M. , Hamrin, R.
&
Mattsson, C. (2023). A Deep Learning Approach for Classification and Measurement of Hazardous Gases Using Multi-Sensor Data Fusion.
In
2023 IEEE Sensors Applications Symposium (SAS).
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Carratu, M. , Gallo, V. , Liguori, C. , Pietrosanto, A. , O'Nils, M.
&
Lundgren, J. (2023). An innovative method for log diameter measurements based on deep learning.
In
2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
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Tran, T. , Bader, S.
&
Lundgren, J. (2023). Denoising Induction Motor Sounds Using an Autoencoder.
In
2023 IEEE Sensors Applications Symposium (SAS).. pp. 01--06.
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Tran, T. , Bader, S.
&
Lundgren, J. (2022). An artificial neural network-based system for detecting machine failures using a tiny sound dataset : A case study.
In
Proceedings - 2022 IEEE International Symposium on Multimedia, ISM 2022.. pp. 163--168.
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Jiang, M. , Nnonyelu, C. J. , Lundgren, J. , Sjöström, M. , Thungström, G.
&
Gao, S. (2022). Performance Comparison of Omni and Cardioid Directional Microphones for Indoor Angle of Arrival Sound Source Localization.
In
Conference Record - IEEE Instrumentation and Measurement Technology Conference.
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Hussain, M. , O'Nils, M. , Lundgren, J. , Carratú, M.
&
Shallari, I. (2022). Selection of optimal parameters to predict fuel consumption of city buses using data fusion.
In
2022 IEEE Sensors Applications Symposium (SAS).
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Nie, Y. , Carratu, M. , O'Nils, M. , Sommella, P. , Moise, A. U.
&
Lundgren, J. (2022). Skin Cancer Classification based on Cosine Cyclical Learning Rate with Deep Learning.
In
Conference Record - IEEE Instrumentation and Measurement Technology Conference.
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Carratu, M. , Gallo, V. , Liguori, C. , Pietrosanto, A. , O'Nils, M.
&
Lundgren, J. (2021). A CNN-based approach to measure wood quality in timber bundle images.
In
2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
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Nie, Y. , Ferro, M. , Sommella, P. , Carratù, M. , Cacciapuoti, S. , Di Leo, G. , Lundgren, J.
&
Fabbrocini, G. (2021). Ensembling CNNs for dermoscopic analysis of suspicious skin lesions.
In
2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA).
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Pasha, S. , Arian, A.
&
Lundgren, J. (2021). Machine-learnt Beamforming for Large Aperture 3D Microphone Arrays, An Industrial Application.
In
IEEE 23rd International Workshop on Multimedia Signal Processing, MMSP 2021.
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Pasha, S. , Lundgren, J.
&
Ritz, C. (2021). Multi-channel electronic stethoscope for enhanced cardiac auscultation using beamforming and equalisation techniques.
In
28th European Signal Processing Conference (EUSIPCO).. pp. 1289--1293.
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Tran, T. , Huy, K. B. , Pham, N. T. , Carratù, M. , Liguori, C.
&
Thim, J. (2021). Separate Sound into STFT Frames to Eliminate Sound Noise Frames in Sound Classification.
Paper presented at the IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), Orlando, USA, [DIGITAL], December 5-7, 2021.
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Carratú, M. , Liguori, C. , Pietrosanto, A. , O'Nils, M.
&
Lundgren, J. (2020). A novel IVS procedure for handling Big Data with Artificial Neural Networks.
In
2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
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Nie, Y. , De Santis, L. , Carratu, M. , O'Nils, M. , Sommella, P.
&
Lundgren, J. (2020). Deep Melanoma classification with K-Fold Cross-Validation for Process optimization.
In
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA).
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Jiang, M. , Lundgren, J. , Pasha, S. , Carratù, M. , Liguori, C.
&
Thungström, G. (2020). Indoor Silent Object Localization using Ambient Acoustic Noise Fingerprinting.
In
2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
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Pasha, S. , Lundgren, J. , Carratù, M. , Wreeby, P.
&
Liguori, C. (2020). Two-stage artificial intelligence clinical decision support system for cardiovascular assessment using convolutional neural networks and decision trees.
In
BIOSIGNALS 2020 - 13th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020.. pp. 199--205.
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Carratù, M. , Ferro, M. , Paciello, V. , Sommella, P. , Lundgren, J.
&
O'Nils, M. (2020). Wireless Sensor Network Calibration for PM10 Measurement.
In
2020 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
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Pasha, S. , Ritz, C.
&
Lundgren, J. (2019). A Survey on Ad Hoc Signal Processing : Applications, Challenges and State-of-the-Art Techniques.
In
2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).
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Nie, Y. , Sommella, P. , O'Nils, M. , Liguori, C.
&
Lundgren, J. (2019). Automatic Detection of Melanoma with Yolo Deep Convolutional Neural Networks.
In
2019 E-Health and Bioengineering Conference (EHB).
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Carratu, M. , Liguori, C. , Pietrosanto, A. , O'Nils, M. & Lundgren, J. (2019). Data Fusion for Timber Bundle Volume Measurement. Paper presented at the 2019 IEEE International Instrumentation & Measurement Technology Conference, Auckland, New Zealand, May 20-23, 2019
Pasha, S.
&
Lundgren, J. (2019). Multi-Channel Compression and Coding of Reverberant Ad-Hoc Recordings Through Spatial Autoregressive Modelling.
In
2019 30th Irish Signals and Systems Conference (ISSC).
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Brugés Martelo, J. M. , Andersson, M. , Andersson, H. & Lundgren, J. (2017). Surface topography characterization of high-quality PE coated paperboard using confocal chromatic microscope and 3D SEM stereo-photogrammetry technique. Paper presented at the 16th International Conference on Metrology and Properties of Engineering Surfaces, Gothenburg, Sweden, June 27-29, 2017
Thim, J. , Norlin, B. , O'Nils, M. , Abdalla, S. & Oelmann, B. (2009). Realizing increased sub-pixel spatial resolution in X-ray imaging using displaced multiple images. In 11th International Workshop on Radiation Imaging Detectors.
Thim, J. , Manuilskiy, A. , O´Nils, M. , Thörnberg, B. , Lindgren, J. & Lidén, J. (2009). The Impact of Surface Movement in Online Paper Topgraphy Cahracerization Using Light Triangulation. In Proceedings fo the Papermaker´s Research Symposium.
Thim, J. & Norlin, B. (2008). CMOS for Color X-Rays - Where do we go from here? : Invited paper at Emerging CMOS Technologies, Vancouver, Canada, August 2008.
Thim, J. , O'Nils, M. , Manuilskiy, A. & Thörnberg, B. (2008). Simulating the Impact of Topographical Microstructures on Triangulation Measurement Setups using Matlab. In Proceedings of Nordic MATLAB User Conference.
Abdalla, S. , Oelmann, B. , O'Nils, M.
&
Thim [Lundgren], J. (2007). Architecture and Circuit Design for Color X-Ray Pixal Array Detector Read-Out Electronics.
In
24th Norchip Conference, 2006. New York : . pp. 271--276.
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Lundgren, J. , Ytterdal, T.
&
O'Nils, M. (2005). Simplified Gate Level Noise Injection Models for Behavioral Noise Coupling Simulation.
In
Proceedings of the 2005 European Conference on Circuit Theory and Design : 28 Aug.-2 Sept. 2005, Cork, Ireland. Piscataway, NJ, USA : . pp. 345--348.
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Lundgren, J. , Ytterdal, T. , Vonbum, K.
&
O'Nils, M. (2004). Substrate Noise Coupling models for Behavioral Mixed-Signal Simulation in SystemC.
In
Proceedings. 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, (IWSOC'04), 2004.. pp. 201--205.
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Lundgren, J. , Ytterdal, T. & O'Nils, M. (2004). Taking Mixed-Signal Substrate Noise Coupling Simulation to the Behavoral Level using SystemC. In Proceedings of the International Workshop on System-on-Chip for Real-Time Applications (IWSOC 2004)).
Lundgren, J. , Oelmann, B. , Ytterdal, T. , Eriksson, P. , Abdalla, M.
&
O'Nils, M. (2003). A power-line noise coupling estimation methodology for architectural exploration of mixed-signal systems.
In
Proceedings of the Southwest Symposium on Mixed-Signa Design.. pp. 133--137.
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O´Nils, M. , Lundgren, J. & Oelmann, B. (2003). A SystemC Extension for Behavioral Level Quantification of Noise-Coupling in Mixed-Signal Systems. In PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III - GENERAL & NONLINEAR CIRCUITS AND SYSTEMS Vol 3.. pp. 898--901.
Lundgren, J. , Oelmann, B. , Ytterdal, T. , Eriksson, P. , Abdalla, M. & O´Nils, M. (2003). Behavioral Simulation of Power Line Noise Coupling in Mixed-Signal Systems using SystemC. In ISVLSI 2003: IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI, PROCEEDINGS - NEW TRENDS AND TECHNOLOGIES FOR VLSI SYSTEMS DESIGN.. pp. 275--277.
Doctoral theses
Lundgren, J. (2007). Simulating Behavioral Level On-Chip Noise Coupling. Dis. (Comprehensive summary) Sundsvall : Mid Sweden University, 2007 (Mid Sweden University doctoral thesis : 25)
Licentiate theses, comprehensive summaries
Lundgren, J. (2005). Behavioral Level Simulation Methods for Early Noise Coupling Quantification in Mixed-Signal Systems. Lic. (Comprehensive summary) Sundsvall : Mid Sweden University, 2005 (Mid Sweden University licentiate thesis : 1)
Manuscripts
Lundgren, J. , Ytterdal, T. & O'Nils, M. Noise injection models for behavioral level noise coupling simulation.
Lundgren, J. & O'Nils, M. Simulating behavioral level on-chip noise coupling using systemC.