Publications by Joakim Jaldén

Refereegranskade

Artiklar

[1]

J. Kipen and J. Jaldén, "Beam search decoder for enhancing sequence decoding speed in single-molecule peptide sequencing data," PloS Computational Biology, vol. 19, no. 11, 2023.

[2]

X. Xu et al., "Lokatt : a hybrid DNA nanopore basecaller with an explicit duration hidden Markov model and a residual LSTM network," BMC Bioinformatics, vol. 24, no. 1, 2023.

[3]

Y. Khorsandmanesh, E. Björnson and J. Jaldén, "Optimized Precoding for MU-MIMO With Fronthaul Quantization," IEEE Transactions on Wireless Communications, vol. 22, no. 11, pp. 7102-7115, 2023.

[4]

S. Jain et al., "Sensing of protein and DNA complexes using solid-state nanopores," Biophysical Journal, vol. 122, no. 3S1, 2023.

[5]

L. Pellaco and J. Jaldén, "A Matrix-Inverse-Free Implementation of the MU-MIMO WMMSE Beamforming Algorithm," IEEE Transactions on Signal Processing, vol. 70, pp. 6360-6375, 2022.

[6]

P. del Aguila Pla, A. Boquet-Pujadas and J. Jaldén, "Convex Quantization Preserves Logconcavity," IEEE Signal Processing Letters, vol. 29, pp. 2697-2701, 2022.

[7]

L. Pellaco, M. Bengtsson and J. Jalden, "Matrix-Inverse-Free Deep Unfolding of the Weighted MMSE Beamforming Algorithm," IEEE Open Journal of the Communications Society, vol. 3, pp. 65-81, 2022.

[8]

V. Saxena, H. Tullberg and J. Jaldén, "Reinforcement Learning for Efficient and Tuning-Free Link Adaptation," IEEE Transactions on Wireless Communications, vol. 21, no. 2, pp. 768-780, 2022.

[9]

M. Maros and J. Jaldén, "A Geometrically Converging Dual Method for Distributed Optimization Over Time-Varying Graphs," IEEE Transactions on Automatic Control, vol. 66, no. 6, pp. 2465-2479, 2021.

[10]

H. Carlsson et al., "Quantifying the Uncertainty of the Relative Geometry in Inertial Sensors Arrays," IEEE Sensors Journal, vol. 21, no. 17, pp. 19362-19373, 2021.

[11]

H. Carlsson, I. Skog and J. Jaldén, "Self-Calibration of Inertial Sensor Arrays," IEEE Sensors Journal, vol. 21, no. 6, pp. 8451-8463, 2021.

[12]

P. D. A. Pla et al., "Clock Synchronization Over Networks : Identifiability of the Sawtooth Model," IEEE Open Journal of Signal Processing, vol. 1, pp. 14-27, 2020.

[13]

K. Soltesz et al., "The effect of interventions on COVID-19," Nature, vol. 588, no. 7839, pp. E26-E32, 2020.

[14]

P. E. Olofsson et al., "A collagen-based microwell migration assay to study NK-target cell interactions," Scientific Reports, vol. 9, 2019.

[15]

M. Maros and J. Jaldén, "On the Q-Linear Convergence of Distributed Generalized ADMM Under Non-Strongly Convex Function Components," IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, vol. 5, no. 3, pp. 442-453, 2019.

[16]

V. Saxena, J. Jaldén and H. Klessig, "Optimal UAV Base Station Trajectories Using Flow-Level Models for Reinforcement Learning," IEEE Transactions on Cognitive Communications and Networking, vol. 5, no. 4, pp. 1101-1112, 2019.

[17]

M. Maros and J. Jaldén, "ADMM for Distributed Dynamic Beam-forming," IEEE Transactions on Signal and Information Processing over Networks, vol. 4, no. 2, pp. 220-235, 2018.

[18]

P. del Aguila Pla and J. Jaldén, "Cell detection by functional inverse diffusion and non-negative group sparsity – Part I: Modeling and Inverse Problems," IEEE Transactions on Signal Processing, vol. 66, no. 20, pp. 5407-5421, 2018.

[19]

P. del Aguila Pla and J. Jaldén, "Cell detection by functional inverse diffusion and non-negative group sparsity – Part II: Proximal optimization and Performance evaluation," IEEE Transactions on Signal Processing, vol. 66, no. 20, pp. 5422-5437, 2018.

[20]

W. Yu and J. Jaldén, "Perspectives in Signal Processing for Communications and Networking," IEEE signal processing magazine (Print), vol. 35, no. 5, pp. 188-+, 2018.

[21]

V. Ulman et al., "An objective comparison of cell-tracking algorithms," Nature Methods, vol. 14, no. 12, pp. 1141-+, 2017.

[22]

A. Tarighati, J. Gross and J. Jaldén, "Decentralized Hypothesis Testing in Energy Harvesting Wireless Sensor Networks," IEEE Transactions on Signal Processing, vol. 65, no. 18, pp. 4862-4873, 2017.

[23]

A. Tarighati and J. Jalden, "Optimality of Rate Balancing in Wireless Sensor Networks," IEEE Transactions on Signal Processing, vol. 64, no. 14, 2016.

[24]

S. K. Sadanandan et al., "Segmentation and Track-Analysis in Time-Lapse Imaging of Bacteria," IEEE Journal on Selected Topics in Signal Processing, vol. 10, no. 1, pp. 174-184, 2016.

[25]

A. Tarighati and J. Jalden, "Bayesian Design of Tandem Networks for Distributed Detection With Multi-bit Sensor Decisions," IEEE Transactions on Signal Processing, vol. 63, no. 7, pp. 1821-1831, 2015.

[26]

K. E. G. Magnusson et al., "Global linking of cell tracks using the Viterbi algorithm," IEEE Transactions on Medical Imaging, vol. 34, no. 4, pp. 911-929, 2015.

[27]

E. Stathakis et al., "Outage Region Characterization for Beamforming in MISO Interference Networks with Imperfect CSI," IEEE Signal Processing Letters, vol. 22, no. 12, pp. 2378-2382, 2015.

[28]

M. Maska et al., "A benchmark for comparison of cell tracking algorithms," Bioinformatics, vol. 30, no. 11, pp. 1609-1617, 2014.

[29]

E. Tsakonas et al., "Convergence of the Huber Regression M-Estimate in the Presence of Dense Outliers," IEEE Signal Processing Letters, vol. 21, no. 11, pp. 1211-1214, 2014.

[30]

J. Pan, W.-K. Ma and J. Jaldén, "MIMO Detection by Lagrangian Dual Maximum-Likelihood Relaxation : Reinterpreting Regularized Lattice Decoding," IEEE Transactions on Signal Processing, vol. 62, no. 2, pp. 511-524, 2014.

[31]

N. Chenouard et al., "Objective comparison of particle tracking methods," Nature Methods, vol. 11, no. 3, pp. 281-U247, 2014.

[32]

E. Stathakis et al., "Uniformly Improving Maximum-Likelihood SNR Estimation of Known Signals in Gaussian Channels," IEEE Transactions on Signal Processing, vol. 62, no. 1, pp. 156-167, 2014.

[33]

M. Wolkerstorfer, J. Jaldén and T. Nordström, "Low-complexity optimal discrete-rate spectrum balancing in digital subscriber lines," Signal Processing, vol. 93, no. 1, pp. 23-34, 2013.

[34]

E. Tsakonas et al., "Sparse Conjoint Analysis Through Maximum Likelihood Estimation," IEEE Transactions on Signal Processing, vol. 61, no. 22, pp. 5704-5715, 2013.

[35]

A. K. Singh, P. Elia and J. Jaldén, "Achieving a Vanishing SNR Gap to Exact Lattice Decoding at a Subexponential Complexity," IEEE Transactions on Information Theory, vol. 58, no. 6, pp. 3692-3707, 2012.

[36]

M. Wolkerstorfer, J. Jaldén and T. Nordström, "Column generation for discrete-rate multi-user and multi-carrier power control," IEEE Transactions on Communications, vol. 60, no. 9, pp. 2712-2722, 2012.

[37]

P. Fertl, J. Jaldén and G. Matz, "Performance Assessment of MIMO-BICM Demodulators Based on Mutual Information," IEEE Transactions on Signal Processing, vol. 60, no. 3, pp. 1366-1382, 2012.

[38]

J. Jaldén and P. Elia, "Sphere Decoding Complexity Exponent for Decoding Full-Rate Codes Over the Quasi-Static MIMO Channel," IEEE Transactions on Information Theory, vol. 58, no. 9, pp. 5785-5803, 2012.

[39]

D. Wübben et al., "Lattice Reduction," IEEE signal processing magazine (Print), vol. 28, no. 3, 2011.

[40]

D. Seethaler et al., "On the Complexity Distribution of Sphere Decoding," IEEE Transactions on Information Theory, vol. 57, no. 9, pp. 5754-5768, 2011.

[41]

E. Tsakonas, J. Jaldén and B. Ottersten, "Semidefinite Relaxations of Robust Binary Least Squares Under Ellipsoidal Uncertainty Sets," IEEE Transactions on Signal Processing, vol. 59, no. 11, pp. 5169-5180, 2011.

[42]

J. Maurer et al., "Vector Perturbation Precoding Revisited," IEEE Transactions on Signal Processing, vol. 59, no. 1, pp. 315-328, 2011.

[43]

J. Jaldén and P. Elia, "DMT Optimality of LR-Aided Linear Decoders for a General Class of Channels, Lattice Designs, and System Models," IEEE Transactions on Information Theory, vol. 56, no. 10, pp. 4765-4780, 2010.

[44]

S. Yousefi, J. Jalden and T. Eriksson, "Linear Prediction of Discrete-Time 1/f Processes," IEEE Signal Processing Letters, vol. 17, no. 11, pp. 901-904, 2010.

[45]

J. Maurer et al., "Achieving a Continuous Diversity-Complexity Tradeoff in Wireless MIMO Systems via Pre-Equalized Sphere-Decoding," IEEE Journal on Selected Topics in Signal Processing, vol. 3, no. 6, pp. 986-999, 2009.

[46]

W.-K. Ma et al., "The Equivalence of Semidefinite Relaxation MIMO Detectors for Higher-Order QAM," IEEE Journal on Selected Topics in Signal Processing, vol. 3, no. 6, pp. 1038-1052, 2009.

[47]

J. Jaldén et al., "The Error Probability of the Fixed-Complexity Sphere Decoder," IEEE Transactions on Signal Processing, vol. 57, no. 7, pp. 2711-2720, 2009.

[48]

E. G. Larsson and J. Jaldén, "Fixed-complexity soft MIMO detection via partial marginalization," IEEE Transactions on Signal Processing, vol. 56, no. 8, pp. 3397-3407, 2008.

[49]

J. Jaldén and B. Ottersten, "The diversity order of the semidefinite relaxation detector," IEEE Transactions on Information Theory, vol. 54, no. 4, pp. 1406-1422, 2008.

[50]

J. Jaldén and B. Ottersten, "On the maximal diversity order of spatial multiplexing with transmit antenna selection," IEEE Transactions on Information Theory, vol. 53, no. 11, pp. 4273-4276, 2007.

[51]

D. Samuelsson et al., "Realization of a spatially multiplexed MIMO system," EURASTP journal an applied signal processing, vol. 2006, pp. 78349, 2006.

[52]

J. Jaldén and B. Ottersten, "On the complexity of sphere decoding in digital communications," IEEE Transactions on Signal Processing, vol. 53, no. 4, pp. 1474-1484, 2005.

[53]

M. Isaksson, J. Jaldén and M. J. Murphy, "On using an adaptive neural network to predict lung tumor motion during respiration for radiotherapy applications," Medical physics (Lancaster), vol. 32, no. 12, pp. 3801-3809, 2005.

Konferensbidrag

[54]

J. Kipen et al., "Efficient Implementation of Robust CUSUM Algorithm to Characterize Nanogaps Measurements with Heavy-Tailed Noise," in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, pp. 1-5.

[55]

A. Rosén, E. Liedholm Johnson and J. Jaldén, "Evaluating and Enhancing the Status of Sustainability in Engineering Education," in Proceedings of the 19^thInternational CDIO Conference, 2023, pp. 29-42.

[56]

Y. Khorsandmanesh, E. Björnson and J. Jaldén, "Fronthaul Quantization-Aware MU-MIMO Precoding for Sum Rate Maximization," in ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance, 2023, pp. 1332-1337.

[57]

Y. Khorsandmanesh, E. Björnson and J. Jaldén, "Quantization-aware precoding for mu-mimo with limited-capacity fronthaul," in 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, pp. 5378-5382.

[58]

L. Pellaco, M. Bengtsson and J. Jaldén, "Deep weighted mmse downlink beamforming," in 2021 IEEE International Conference On Acoustics, Speech And Signal Processing (Icassp 2021), 2021, pp. 4915-4919.

[59]

V. Saxena, H. Tullberg and J. Jaldén, "Model-Based Adaptive Modulation and Coding with Latent Thompson Sampling," in 2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021.

[60]

V. Saxena and J. Jaldén, "Bayesian Link Adaptation under a BLER Target," in 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020, 2020, pp. 2735-2740.

[61]

P. D. A. Pla et al., "Clock synchronization over networks using sawtooth models," in 2020 IEEE international conference on acoustics, speech, and signal processing, 2020, pp. 5945-5949.

[62]

F. Gustafsson et al., "Identifiability issues in estimating the impact of interventions on Covid-19 spread," in IFAC PAPERSONLINE, 2020, pp. 829-832.

[63]

L. Pellaco, N. Singh and J. Jaldén, "Spectrum prediction and interference detection for satellite communications," in ADVANCES IN COMMUNICATIONS SATELLITE SYSTEMS 2, 2020, pp. 803-820.

[64]

V. Saxena, J. E. Gonzalez and J. Jaldén, "Thompson Sampling for Linearly Constrained Bandits," in Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 2020, pp. 1999-2009.

[65]

L. Pellaco et al., "Wireless link adaptation with outdated CSI —a hybrid data-driven and model-based approach," in 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020, 2020.

[66]

V. Saxena et al., "Contextual multi-armed bandits for link adaptation in cellular networks," in NetAI 2019 - Proceedings of the 2019 ACM SIGCOMM Workshop on Network Meets AI and ML, Part of SIGCOMM 2019, 2019, pp. 44-49.

[67]

M. Maros and J. Jaldén, "ECO-PANDA : A COMPUTATIONALLY ECONOMIC, GEOMETRICALLY CONVERGING DUAL OPTIMIZATION METHOD ON TIME-VARYING UNDIRECTED GRAPHS," in 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, pp. 5257-5261.

[68]

M. Maros and J. Jaldén, "Eco-panda: A Computationally Economic, Geometrically Converging Dual Optimization Method on Time-varying Undirected GRaphs," in IEEE International Conference on Acoustics, Speech and Signal Processing 2019, 2019.

[69]

P. del Aguila Pla, V. Saxena and J. Jaldén, "SpotNet : Learned iterations for cell detection in image-based immunoassays," in Proceedings : International Symposium on Biomedical Imaging, 2019.

[70]

V. Saxena et al., "A Learning Approach for Optimal Codebook Selection in Spatial Modulation Systems," in 2018 conference record of 52nd asilomar conference on signals, systems, and computers, 2018, pp. 1800-1804.

[71]

J. Wahlström et al., "Alternative em Algorithms for Nonlinear State-Space Models," in 21st International Conference on Information Fusion, FUSION 2018, 2018, pp. 1260-1267.

[72]

P. del Aguila Pla and J. Jaldén, "Cell detection on image-based immunoassays," in 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, pp. 431-435.

[73]

P. del Aguila Pla and J. Jaldén, "Convolutional group-sparse coding and source localization," in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15-20 April 2018, Calgary, AB, Canada, 2018, pp. 2776-2780.

[74]

M. Maros and J. Jaldén, "DYNAMIC POWER ALLOCATION FOR SMART GRIDS VIA ADMM," in 2018 IEEE 19TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2018, pp. 416-420.

[75]

V. Saxena et al., "Deep learning for frame error probability prediction in bicm-ofdm systems," in 2018 ieee international conference on acoustics, speech and signal processing (icassp), 2018, pp. 6658-6662.

[76]

M. Maros and J. Jaldén, "PANDA : A Dual Linearly Converging Method for Distributed Optimization over Time-Varying Undirected Graphs," in 2018 IEEE Conference on Decision and Control (CDC), 2018, pp. 6520-6525.

[77]

I. Skog et al., "Position and orientation estimation of a permanent magnet using a small-scale sensor array," in I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference : Discovering New Horizons in Instrumentation and Measurement, Proceedings, 2018, pp. 1-5.

[78]

J. Jaldén, X. C. Moreno and I. Skog, "USING THE ARDUINO DUE FOR TEACHING DIGITAL SIGNAL PROCESSING," in 2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, pp. 6468-6472.

[79]

H. Carlsson, I. Skog and J. Jaldén, "On-The-Fly Geometric Calibration of Inertial Sensor Arrays," in Proceedings 2017 international conference on indoor positioning and indoor navigation (IPIN), 2017.

[80]

A. Tarighati, J. Gross and J. Jaldén, "Decentralized Detection in Energy Harvesting Wireless Sensor Networks," in 2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2016, pp. 567-571.

[81]

A. Tarighati, J. Gross and J. Jalden, "Distributed detection in energy harvesting wireless sensor networks," in European Signal Process. Conf. (EUSIPCO), Aug. 2016, 2016.

[82]

A. Tarighati and J. Jaldén, "Rate Allocation for Decentralized Detection in Wireless Sensor Networks," in 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, Stockholm, June 28 - July 1, 2015, 2015, pp. 341-345.

[83]

K. Magnusson and J. Jaldén, "Tracking of non-brownian particles using the Viterbi algorithm," in Proceedings - International Symposium on Biomedical Imaging, 2015, pp. 380-384.

[84]

A. Tarighati and J. Jalden, "A General Method for the Design of Tree Networks Under Communication Constraints," in Information Fusion (FUSION), 2014 17th International Conference on, 2014.

[85]

A. Tarighati and J. Jalden, "Bayesian Design of Decentralized Hypothesis Testing Under Communication Constraints," in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, 2014.

[86]

Z. Li, T. Oechtering and J. Jaldén, "Parallel Distributed Neyman-Pearson Detection with Privacy Constraints," in Proceedings of the IEEE International Conference on Communications (ICC) 2014 Workshop, 2014, pp. 765-770.

[87]

E. Tsakonas et al., "Connections between sparse estimation and robust statistical learning," in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013, pp. 5489-5493.

[88]

J. Jaldén and T. J. Oechtering, "Distributed Bayesian detection for the butterfly network," in 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013, pp. 61-65.

[89]

A. Singh, P. Elia and J. Jaldén, "Rate-reliability-complexity tradeoff for ML and lattice decoding of full-rate codes," in 2013 IEEE International Symposium on Information Theory Proceedings (ISIT), 2013, pp. 1267-1271.

[90]

K. E. G. Magnusson and J. Jaldén, "A batch algorithm using iterative application of the Viterbi algorithm to track cells and construct cell lineages," in Proceedings - International Symposium on Biomedical Imaging, 2012, pp. 382-385.

[91]

A. Singh, P. Elia and J. Jaldén, "Complexity analysis for ML-based sphere decoder achieving avanishing performance-gap to brute force ML decoding," in International Zürich Seminar on Communications (IZS), 2012.

[92]

E. Tsakonas et al., "Maximum likelihood based sparse and distributed conjoint analysis," in 2012 IEEE Statistical Signal Processing Workshop, SSP 2012, 2012, pp. 33-36.

[93]

J. Flåm, J. Jaldén and S. Chatterjee, "Gaussian mixture modeling for source localization," in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2011, pp. 2604-2607.

[94]

E. Tsakonas, J. Jaldén and B. Ottersten, "Robust binary least squares : Relaxations and algorithms," in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, 2011, pp. 3780-3783.

[95]

J. Jaldén and P. Elia, "The complexity of sphere decoding perfect codes under a vanishing gap to ML performance," in 2011 IEEE International Symposium on Information Theory Proceedings (ISIT), 2011, pp. 2836-2840.

[96]

A. Singh, P. Elia and J. Jaldén, "Vanishing the gap to exact lattice search at a subexponential complexity : LR-aided regularized decoding," in 2011 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011, 2011, pp. 531-538.

[97]

P. Elia and J. Jaldén, "Fundamental rate-reliability-complexity limits in outage limited MIMO communications," in IEEE International Symposium on Information Theory - Proceedings, 2010, pp. 2203-2207.

[98]

P. Elia and J. Jaldén, "General DMT optimality of LR-aided linear MIMO-MAC transceivers with worst-case complexity at most linear in sum-rate," in IEEE Information Theory Workshop 2010, 2010, p. 5503161.

[99]

J. Jaldén, P. Fertl and G. Matz, "On the generalized mutual information of BICM systems with approximate demodulation," in IEEE Information Theory Workshop 2010, 2010.

[100]

S. Yousefi and J. Jaldén, "On the predictability of phase noise modeled as flicker FM plus white FM," in 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2010, pp. 1791-1795.

[101]

J. Jaldén and P. Elia, "LR-aided MMSE lattice decoding is DMT optimal for all approximately universal codes," in 2009 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, 2009, pp. 1263-1267.

[102]

D. Seethaler et al., "Tail Behavior of Sphere-Decoding Complexity in Random Lattices," in 2009 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, 2009, pp. 729-733.

[103]

J. Maurer et al., "Vector perturbation precoding for receivers with limited dynamic range," in 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2009, pp. 2709-2712.

[104]

D. Wisell, J. Jaldén and P. Händel, "Behavioral Power Amplifier Modeling Using the LASSO," in 2008 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, 2008, pp. 1864-1867.

[105]

P. Fertl, J. Jaldén and G. Matz, "Capacity-Based Performance Comparison of MIMO-BICM Demodulators," in 2008 IEEE 9TH WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, 2008, pp. 166-170.

[106]

P. Elia and J. Jaldén, "Construction criteria and existence results for approximately universal linear space-time codes with reduced decoding complexity," in 2008 46TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING, VOLS 1-3, 2008, pp. 1359-1364.

[107]

J. Jaldén and G. Matz, "MIMO receiver diversity in general fading," in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, pp. 2837-2840.

[108]

J. Maurer, J. Jaldén and G. Matz, "Multi-threshold top - Full-diversity vector perturbation precodingwith finite-rate feedforward," in 2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 2008, pp. 428-432.

[109]

J. Jaldén, J. Maurer and G. Matz, "On the diversity order of vector perturbation precoding with imperfect channel state information," in 2008 IEEE 9TH WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, VOLS 1 AND 2, 2008, pp. 211-215.

[110]

C. Dumard, J. Jaldén and T. Zemen, "Soft Sphere Decoder for an Iterative Receiver in Time-Varying MIMO Channels," in 16th European Signal Processing Conference (EUSIPCO 2008), 2008.

[111]

W.-K. Ma et al., "Some results on 16-QAM MIMO detection using semidefinite relaxation," in 2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, 2008, pp. 2673-2676.

[112]

J. Maurer, J. Jaldén and G. Matz, "Transmit outage precoding with imperfect channel state information under an instantaneous power constraint," in 2008 IEEE 9TH WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, VOLS 1 AND 2, 2008, pp. 66-70.

[113]

J. Jaldén, D. Seethaler and G. Matz, "Worst- and average-case complexity of LLL lattice reduction in MIMO wireless systems," in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2008, pp. 2685-2688.

[114]

J. Jaldén et al., "Full diversity detection in MIMO systems with a fixed-complexity sphere decoder," in 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007, pp. 49-52.

[115]

E. G. Larsson and J. Jaldén, "Soft MIMO detection at fixed complexity," in GLOBECOM 2007: 2007 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, 2007, pp. 1617-1621.

[116]

J. Jaldén and B. Ottersten, "Channel dependent termination of the semidefinite relaxation detector," in 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2006, pp. 185-188.

[117]

J. Jaldén and B. Ottersten, "High diversity detection using semidefinite relaxation," in 2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 2006, pp. 2082-2086.

[118]

J. Jaldén and B. Ottersten, "On the limits of sphere decoding," in 2005 IEEE International Symposium on Information Theory (ISIT), Vols 1 and 2, 2005, pp. 1691-1695.

[119]

J. Jaldén and B. Ottersten, "Parallel implementation of a soft output sphere decoder," in 2005 39th Asilomar Conference on Signals, Systems and Computers, 2005, pp. 581-585.

[120]

J. Jaldén, B. Ottersten and W.-K. Ma, "Reducing the average complexity of ML detection using semidefinite relaxation," in 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2005, pp. 1021-1024.

[121]

J. Jaldén and B. Ottersten, "An Exponential Lower Bound on the Expected Complexity of Sphere Decoding," in Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004, pp. 393-396.

[122]

P. Zetterberg et al., "Implementation of SM and RxTxIR on a DSP-Based Wireless MIMO Test-Bed," in Proceedings of the European DSP Education and Research Symposium EDERS, 2004.

[123]

J. Jalden, M. Skoglund and B. Ottersten, "On the random coding exponent of multiple antenna systems using space-time block codes," in 2004 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS, 2004, pp. 189-189.

[124]

J. Jaldén, C. Martin and B. Ottersten, "Semidefinite Programming for Detection in Linear Systems – Optimality Conditions and Space-Time Decoding," in IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003, pp. 9-12.

[125]

M. J. Murphy, M. Isaakson and J. Jaldén, "Adaptive filtering to predict lung tumor motion during free breathing," in CARS 2002 : COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS, 2002, pp. 539-544.

Icke refereegranskade

Kapitel i böcker

[126]

C. Dumard, J. Jaldén and T. Zemen, "Multi-User MIMO Receiver Processing for Time-Varying Channels," in Wireless Communications Over Rapidly Time-Varying Channels, Franz Hlawatsch and Gerald Matz Ed., : Elsevier Academic Press, 2011, pp. 337-374.

[127]

J. Jaldén and B. Ottersten, "Detection Based on Relaxation in MIMO Systems," in Handbook on Advancements in Smart Antenna Technologies for Wireless Networks, Chen Sun, Jun Cheng, and Takashi Ohira Ed., 1st ed. : Premier Reference Source, 2008, pp. 308-327.