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2020 – today
- 2020
[j11]Karl Adler
, Kristin Piikki, Mats Söderström, Jan Eriksson, Omran Alshihabi:
Predictions of Cu, Zn, and Cd Concentrations in Soil Using Portable X-Ray Fluorescence Measurements. Sensors 20(2): 474 (2020)
2010 – 2019
- 2016
- [j10]Kristin Piikki, Mats Söderström, Jan Eriksson, Jamleck Muturi John, Patrick Ireri Muthee, Johanna Wetterlind, Eric Lund:
Performance Evaluation of Proximal Sensors for Soil Assessment in Smallholder Farms in Embu County, Kenya. Sensors 16(11): 1950 (2016) - 2012
- [c19]Jari Nieminen, Riku Jäntti, Jan Eriksson:
Performance of target tracking applications in multi-channel wireless sensor networks. WCNC 2012: 1532-1537 - 2011
- [j9]Esa Ollila, Jan Eriksson, Visa Koivunen:
Complex Elliptically Symmetric Random Variables - Generation, Characterization, and Circularity Tests. IEEE Trans. Signal Process. 59(1): 58-69 (2011) - [c18]Jayaprakash Rajasekharan, Jan Eriksson, Visa Koivunen:
Cooperative game theory and auctioning for spectrum allocation in cognitive radios. PIMRC 2011: 656-660 - [i2]Jayaprakash Rajasekharan, Jan Eriksson, Visa Koivunen:
Cooperative Game-Theoretic Approach to Spectrum Sharing in Cognitive Radios. CoRR abs/1112.1520 (2011) - 2010
- [j8]Jan Eriksson, Esa Ollila, Visa Koivunen:
Essential statistics and tools for complex random variables. IEEE Trans. Signal Process. 58(10): 5400-5408 (2010)
2000 – 2009
- 2009
- [j7]Traian E. Abrudan, Jan Eriksson, Visa Koivunen:
Conjugate gradient algorithm for optimization under unitary matrix constraint. Signal Process. 89(9): 1704-1714 (2009) - [c17]Jan Eriksson, Esa Ollila, Visa Koivunen:
Statistics for complex random variables revisited. ICASSP 2009: 3565-3568 - 2008
- [j6]Traian E. Abrudan, Jan Eriksson, Visa Koivunen:
Steepest Descent Algorithms for Optimization Under Unitary Matrix Constraint. IEEE Trans. Signal Process. 56(3): 1134-1147 (2008) - [c16]Traian E. Abrudan, Jan Eriksson, Visa Koivunen:
Efficient Riemannian algorithms for optimization under unitary matrix constraint. ICASSP 2008: 2353-2356 - 2006
- [j5]Jan Eriksson, Visa Koivunen:
Complex random vectors and ICA models: identifiability, uniqueness, and separability. IEEE Trans. Inf. Theory 52(3): 1017-1029 (2006) - [c15]Scott C. Douglas, Jan Eriksson, Visa Koivunen:
Equivariant Algorithms for Estimating the Strong-Uncorrelating Transform in Complex Independent Component Analysis. ICA 2006: 57-65 - [c14]Scott C. Douglas, Jan Eriksson, Visa Koivunen:
Fixed-Point Complex ICA Algorithms for the Blind Separation of Sources Using Their Real or Imaginary Components. ICA 2006: 343-351 - [c13]Juan Manuel Moreno, Javier Iglesias, Jan Eriksson, Alessandro E. P. Villa:
Physical Mapping of Spiking Neural Networks Models on a Bio-inspired Scalable Architecture. ICANN (1) 2006: 936-943 - [c12]Scott C. Douglas, Jan Eriksson, Visa Koivunen:
Adaptive Estimation of the Strong Uncorrelating Transform with Applications to Subspace Tracking. ICASSP (4) 2006: 941-944 - [c11]Jan Eriksson, Alessandro E. P. Villa:
Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels. IJCNN 2006: 526-533 - [c10]Jari Salo, Jan Eriksson, Visa Koivunen, Pertti Vainikainen:
Empirical Characteristic Function Based Estimation of Multiple Scattering Channel Parameters. PIMRC 2006: 1-5 - 2005
- [c9]Javier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa:
Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks. BVAI 2005: 59-68 - [c8]Jan Eriksson, Anne-Mari Seppola, Visa Koivunen:
Complex ICA for circular and non-circular sources. EUSIPCO 2005: 1-4 - [c7]Javier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa:
Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity. ICANN (1) 2005: 127-132 - [c6]Juan Manuel Moreno, Jan Eriksson, Javier Iglesias, Alessandro E. P. Villa:
Implementation of Biologically Plausible Spiking Neural Networks Models on the POEtic Tissue. ICES 2005: 188-197 - [c5]Jan Eriksson, Visa Koivunen:
Blind separation of a class of nonlinear ICA models. ISCAS (6) 2005: 5890-5893 - [i1]Jan Eriksson, Visa Koivunen:
Complex Random Vectors and ICA Models: Identifiability, Uniqueness and Separability. CoRR abs/cs/0512063 (2005) - 2004
- [b1]Jan Eriksson:
Contributions to theory and algorithms of independent component analysis and signal separation. Helsinki University of Technology, Finland, 2004 - [j4]Jan Eriksson, Visa Koivunen:
Identifiability, separability, and uniqueness of linear ICA models. IEEE Signal Process. Lett. 11(7): 601-604 (2004) - 2003
- [j3]Jan Eriksson, Visa Koivunen:
Characteristic-function-based independent component analysis. Signal Process. 83(10): 2195-2208 (2003) - [c4]Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle Tucker, Ken Lindsay, David M. Halliday, Jay R. Rosenberg, Juan Manuel Moreno, Alessandro E. P. Villa:
Spiking Neural Networks for Reconfigurable POEtic Tissue. ICES 2003: 165-173 - [c3]Oriol Torres, Jan Eriksson, Juan Manuel Moreno, Alessandro E. P. Villa:
Hardware Optimization of a Novel Spiking Neuron Model for the POEtic Tissue. IWANN (2) 2003: 113-120 - 2002
- [j2]Juha Karvanen, Jan Eriksson, Visa Koivunen:
Adaptive Score Functions for Maximum Likelihood ICA. J. VLSI Signal Process. 32(1-2): 83-92 (2002) - [c2]Jan Eriksson, Visa Koivunen:
Blind identifiability of class of nonlinear instantaneous ICA models. EUSIPCO 2002: 1-4
1990 – 1999
- 1998
- [c1]Arnaud Robert, Jan Eriksson:
Periphear : a nonlinear active model of the auditory periphery. ICSLP 1998
1980 – 1989
- 1980
- [j1]Jan Eriksson:
A note on solution of large sparse maximum entropy problems with linear equality constraints. Math. Program. 18(1): 146-154 (1980)
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