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ORCIDMaria Sandsten
Maria Hansson-Sandsten – Maria Hansson
Person information
- affiliation: Lund University
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2020 – today
- 2024
[c54]John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen:
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. EUSIPCO 2024: 902-906- [c53]Maria Åkesson, Maria Sandsten:
Robust Multitaper Reassignment Vectors for Enhanced Time-Frequency Representation. EUSIPCO 2024: 2497-2501 - [c52]John Martinsson, Maria Sandsten:
DMEL: The Differentiable Log-Mel Spectrogram as a Trainable Layer in Neural Networks. ICASSP 2024: 5005-5009 - [i1]John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen:
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. CoRR abs/2403.08525 (2024) - 2023
- [c51]Maria Åkesson, Oskar Keding, Isabella Reinhold, Maria Sandsten:
Highly Accurate and Noise-Robust Phase Delay Estimation using Multitaper Reassignment. EUSIPCO 2023: 1763-1767 - [c50]Oskar Keding, Maria Åkesson, Maria Sandsten:
Coherence Expectation Minimisation and Combining Weighted Multitaper Estimates. EUSIPCO 2023: 1993-1997 - [c49]Emina Alickovic, Carlos Francisco Mendoza, Andrew Segar, Maria Sandsten, Martin A. Skoglund:
Decoding Auditory Attention From EEG Data Using Cepstral Analysis. ICASSP Workshops 2023: 1-5 - [c48]Oskar Keding, Emina Alickovic, Martin A. Skoglund, Maria Sandsten:
Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment. INTERSPEECH 2023: 5162-5166 - 2022
- [j27]Isabella Reinhold
, Maria Sandsten:
The multitaper reassigned spectrogram for oscillating transients with Gaussian envelopes. Signal Process. 198: 108570 (2022) - [c47]John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten:
Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks. DCASE 2022 - [c46]Maria Åkesson, Maria Sandsten:
Phase Reassignment with Efficient Estimation of Phase Difference. EUSIPCO 2022: 2126-2130 - [c45]Oskar Keding, Maria Sandsten:
Robust Phase Difference Estimation of Transients in High Noise Levels. EUSIPCO 2022: 2271-2275 - 2021
- [j26]Johan Brynolfsson, Isabella Reinhold, Maria Sandsten:
A time-frequency-shift invariant parameter estimator for oscillating transient functions using the matched window reassignment. Signal Process. 183: 107913 (2021) - [c44]Maria Sandsten, Isabella Reinhold, Rachele Anderson:
Parameter Estimation from the Cross-Spectrogram Reassignment Vectors. EUSIPCO 2021: 1915-1919 - [c43]Isabella Reinhold, Maria Sandsten:
Non-parametric Envelope Estimation for the Matched Window Reassignment. EUSIPCO 2021: 1920-1924 - [c42]Maria Sandsten, Rachele Anderson, Isabella Reinhold, Bo Bernhardsson, Carolina Bergeling, Mikael Johansson:
A Novel Multitaper Reassignment Method for Estimation of Phase Synchrony. EUSIPCO 2021: 2164-2168 - 2020
- [j25]Rachele Anderson, Maria Sandsten:
Time-frequency feature extraction for classification of episodic memory. EURASIP J. Adv. Signal Process. 2020(1): 19 (2020) - [c41]Erik M. Månsson, Maria Sandsten:
The Smoothed Reassigned Spectrogram for Robust Energy Estimation. EUSIPCO 2020: 2210-2214 - [c40]Rachele Anderson, Maria Sandsten:
Multitaper Spectral Granger Causality with Application to Ssvep. ICASSP 2020: 1284-1288 - [c39]Maria Sandsten, Isabella Reinhold, Rachele Anderson:
A Multitaper Reassigned Spectrogram for Increased Time-Frequency Localization Precision. ICASSP 2020: 5310-5314 - [c38]Maria Sandsten, Rachele Anderson, Isabella Reinhold, Johan Brynolfsson:
The Matched Reassigned Cross-Spectrogram for Phase Estimation. ICASSP 2020: 5960-5964
2010 – 2019
- 2019
- [j24]Rachele Anderson, Maria Sandsten:
Inference for time-varying signals using locally stationary processes. J. Comput. Appl. Math. 347: 24-35 (2019) - [c37]Isabella Reinhold, Maria Sandsten:
Efficient Thomson Spectral Estimator with Time-shifted Windows. ICASSP 2019: 4983-4987 - [c36]Johan Brynolfsson, Isabella Reinhold, Josefin Starkhammar, Maria Sandsten:
The Matched Reassignment Applied to Echolocation Data. ICASSP 2019: 8236-8240 - 2018
- [j23]Johan Brynolfsson, Maria Sandsten:
Parameter estimation of Oscillating Gaussian functions using the scaled reassigned spectrogram. Signal Process. 150: 20-32 (2018) - [c35]Rachele Anderson, Peter Jönsson, Maria Sandsten:
Effects of Age, BMI, Anxiety and Stress on the Parameters of a Stochastic Model for Heart Rate Variability Including Respiratory Information. BIOSIGNALS 2018: 17-25 - [c34]Rachele Anderson, Peter Jönsson, Maria Sandsten:
Insights on Spectral Measures for HRV Based on a Novel Approach for Data Acquisition. EMBC 2018: 510-513 - [c33]Michelle S. Chong, Maria Sandsten, Anders Rantzer:
Estimating the Wigner distribution of linear time-invariant dynamical systems. ECC 2018: 1220-1225 - [c32]Rachele Anderson, Maria Sandsten:
Classification of EEG signals based on mean-square error optimal time-frequency features. EUSIPCO 2018: 106-110 - [c31]Maria Sandsten, Johan Brynolfsson, Isabella Reinhold:
The Matched Window Reassignment. EUSIPCO 2018: 2340-2344 - [c30]Johan Brynolfsson, Johan Sward, Andreas Jakobsson, Maria Sandsten:
Least Squares and Maximum Likelihood Estimation of Mixed Spectra. EUSIPCO 2018: 2345-2349 - 2017
- [j22]Isabella Reinhold, Maria Sandsten:
Optimal time-frequency distributions using a novel signal adaptive method for automatic component detection. Signal Process. 133: 250-259 (2017) - [c29]Johan Brynolfsson, Maria Sandsten:
Classification of one-dimensional non-stationary signals using the Wigner-Ville distribution in convolutional neural networks. EUSIPCO 2017: 326-330 - [c28]Isabella Reinhold, Josefin Starkhammar, Maria Sandsten:
The scaled reassigned spectrogram adapted for detection and localisation of transient signals. EUSIPCO 2017: 907-911 - [c27]Maria Sandsten, Johan Brynolfsson:
Classification of bird song syllables using Wigner-Ville ambiguity function cross-terms. EUSIPCO 2017: 1739-1743 - [c26]Maria Sandsten, Isabella Reinhold, Josefin Starkhammar:
Automatic Time-Frequency Analysis of Echolocation Signals Using the Matched Gaussian Multitaper Spectrogram. INTERSPEECH 2017: 3048-3052 - 2016
- [j21]Maria Sandsten, Mareile Große Ruse, Martin Jönsson:
Robust feature representation for classification of bird song syllables. EURASIP J. Adv. Signal Process. 2016: 68 (2016) - [j20]Nabeel Ali Khan, Maria Sandsten:
Time-frequency image enhancement based on interference suppression in Wigner-Ville distribution. Signal Process. 127: 80-85 (2016) - [j19]Johan Sward, Johan Brynolfsson, Andreas Jakobsson, Maria Hansson-Sandsten:
Sparse Semi-Parametric Estimation of Harmonic Chirp Signals. IEEE Trans. Signal Process. 64(7): 1798-1807 (2016) - 2015
- [j18]Maria Hansson-Sandsten, Johan Brynolfsson:
The Scaled Reassigned Spectrogram with Perfect Localization for Estimation of Gaussian Functions. IEEE Signal Process. Lett. 22(1): 100-104 (2015) - [c25]Maria Hansson-Sandsten:
Classification of bird song syllables using singular vectors of the multitaper spectrogram. EUSIPCO 2015: 554-558 - [c24]Johan Brynolfsson, Maria Hansson-Sandsten:
Parameter estimation of Gaussian functions using the scaled reassigned spectrogram. EUSIPCO 2015: 988-992 - 2014
- [c23]Johan Sward, Johan Brynolfsson, Andreas Jakobsson, Maria Hansson-Sandsten:
Sparse semi-parametric chirp estimation. ACSSC 2014: 1236-1240 - [c22]Maria Hansson-Sandsten:
Evaluation of non-linear combinations of rescaled reassigned spectrograms. EUSIPCO 2014: 486-490 - [c21]Johan Sward, Johan Brynolfsson, Andreas Jakobsson, Maria Hansson-Sandsten:
Smooth 2-D frequency estimation using covariance fitting. EUSIPCO 2014: 496-500 - [c20]Johan Brynolfsson, Maria Hansson-Sandsten:
Multitaper estimation of the coherence spectrum in low SNR. EUSIPCO 2014: 1019-1023 - [c19]Johan Brynolfsson, Johan Sward, Andreas Jakobsson, Maria Hansson-Sandsten:
Smooth time-frequency estimation using covariance fitting. ICASSP 2014: 779-783 - 2013
- [j17]Maria Hansson-Sandsten:
Mean square error optimal weighting for multitaper cepstrum estimation. EURASIP J. Adv. Signal Process. 2013: 158 (2013) - [c18]Johan Brynolfsson, Maria Hansson-Sandsten:
Optimal time frequency analysis of multiple time-translated locally stationary processes. EUSIPCO 2013: 1-5 - [c17]Maria Hansson-Sandsten:
Matched Gaussian multitaper spectrogram. EUSIPCO 2013: 1-5 - 2012
- [j16]Johan Sandberg, Maria Hansson-Sandsten:
Optimal cepstrum smoothing. Signal Process. 92(5): 1290-1301 (2012) - [j15]Tomi Kinnunen, Rahim Saeidi, Filip Sedlak, Kong-Aik Lee, Johan Sandberg, Maria Hansson-Sandsten, Haizhou Li:
Low-Variance Multitaper MFCC Features: A Case Study in Robust Speaker Verification. IEEE Trans. Speech Audio Process. 20(7): 1990-2001 (2012) - [c16]Maria Hansson-Sandsten:
A Welch method approximation of the Thomson multitaper spectrum estimator. EUSIPCO 2012: 440-444 - [c15]Cemal Hanilçi, Tomi Kinnunen, Rahim Saeidi, Jouni Pohjalainen, Paavo Alku, Figen Ertas, Johan Sandberg, Maria Hansson-Sandsten:
Comparing spectrum estimators in speaker verification under additive noise degradation. ICASSP 2012: 4769-4772 - 2011
- [j14]Maria Hansson-Sandsten:
Optimal Multitaper Wigner Spectrum Estimation of a Class of Locally Stationary Processes Using Hermite Functions. EURASIP J. Adv. Signal Process. 2011 (2011) - [j13]Johan Sandberg, Maria Hansson-Sandsten:
Optimal Nonparametric Covariance Function Estimation for Any Family of Nonstationary Random Processes. EURASIP J. Adv. Signal Process. 2011 (2011) - [j12]Maria Hansson-Sandsten:
Multitaper Wigner and Choi-Williams distributions with predetermined Doppler-lag bandwidth and sidelobe suppression. Signal Process. 91(6): 1457-1465 (2011) - [c14]Maria Hansson-Sandsten, Maja Tarka, Jessica Caissy-Martineau, Bengt Hansson, Dennis Hasselquist:
SVD-based classification of bird singing in different time-frequency domains using multitapers. EUSIPCO 2011: 966-970 - [c13]Maria Hansson-Sandsten:
Cross-spectrum and coherence function estimation using time-delayed Thomson multitapers. ICASSP 2011: 4240-4243 - 2010
- [j11]Maria Hansson-Sandsten, Johan Sandberg:
Optimization of Weighting Factors for Multiple Window Spectrogram of Event-Related Potentials. EURASIP J. Adv. Signal Process. 2010 (2010) - [j10]Johan Sandberg, Maria Hansson-Sandsten:
Optimal stochastic discrete time-frequency analysis in the ambiguity and time-lag domain. Signal Process. 90(7): 2203-2211 (2010) - [j9]Johan Sandberg, Maria Hansson-Sandsten, Tomi Kinnunen, Rahim Saeidi, Patrick Flandrin, Pierre Borgnat:
Multitaper Estimation of Frequency-Warped Cepstra With Application to Speaker Verification. IEEE Signal Process. Lett. 17(4): 343-346 (2010) - [c12]Johan Sandberg, Maria Hansson-Sandsten:
Approximate optimal periodogram smoothing for cepstrum estimation using a penalty term. EUSIPCO 2010: 363-367 - [c11]Maria Hansson-Sandsten:
Multi taper wigner distribution with predetermined Doppler-lag bandwidth and sidelobe suppression. EUSIPCO 2010: 1737-1741 - [c10]Tomi Kinnunen, Rahim Saeidi, Johan Sandberg, Maria Hansson-Sandsten:
What else is new than the hamming window? robust MFCCs for speaker recognition via multitapering. INTERSPEECH 2010: 2734-2737
2000 – 2009
- 2009
- [j8]Johan Sandberg, Maria Hansson-Sandsten:
A Comparison Between Different Discrete Ambiguity Domain Definitions in Stochastic Time-Frequency Analysis. IEEE Trans. Signal Process. 57(3): 868-877 (2009) - [c9]Maria Hansson-Sandsten, Johan Sandberg:
Optimization of weighting factors for multiple window time-frequency analysis. EUSIPCO 2009: 2283-2287 - [c8]Johan Sandberg, Maria Hansson-Sandsten:
Optimal Wigner cross-spectrum estimation. EUSIPCO 2009: 2298-2302 - [c7]Maria Hansson-Sandsten, Johan Sandberg:
Optimal cepstrum estimation using multiple windows. ICASSP 2009: 3077-3080 - 2007
- [j7]Maria Hansson-Sandsten, Peter Jönsson:
Multiple Window Correlation Analysis of HRV Power and Respiratory Frequency. IEEE Trans. Biomed. Eng. 54(10): 1770-1779 (2007) - [j6]Patrik Wahlberg, Maria Hansson:
Kernels and Multiple Windows for Estimation of the Wigner-Ville Spectrum of Gaussian Locally Stationary Processes. IEEE Trans. Signal Process. 55(1): 73-84 (2007) - [j5]Maria Hansson-Sandsten, Joakim Axmon:
Multiple-Window Cepstrum Analysis for Estimation of Periodicity. IEEE Trans. Signal Process. 55(2): 474-481 (2007) - 2006
- [c6]Johan Sandberg, Maria Hansson:
Coherence estimation between EEG signals using multiple window time-frequency analysis compared to Gaussian kernels. EUSIPCO 2006: 1-5 - [c5]Maria Hansson:
Multiple Window Decomposition of Time-Frequency Kernels Using A Penalty Function for Suppressed Sidelobes. ICASSP (3) 2006: 432-435 - 2005
- [j4]Joakim Axmon, Maria Hansson, Leif Sörnmo:
Partial forward-backward averaging for enhanced frequency estimation of real X-texture modes. IEEE Trans. Signal Process. 53(7): 2550-2562 (2005) - 2004
- [c4]Maria Hansson, Patrik Wahlberg:
Optimal multiple window time-frequency analysis of locally stationary processes. EUSIPCO 2004: 1781-1784 - 2001
- [j3]Maria Hansson, Magnus Lindgren:
Multiple-window spectrogram of peaks due to transients in the electroencephalogram. IEEE Trans. Biomed. Eng. 48(3): 284-293 (2001)
1990 – 1999
- 1999
- [c3]Joakim Axmon, Maria Hansson:
Estimation of Circumferential-Mode Parameters of Living Trees. SIP 1999: 188-192 - 1997
- [j2]Maria Hansson, Göran Salomonsson:
A multiple window method for estimation of peaked spectra. IEEE Trans. Signal Process. 45(3): 778-781 (1997) - [c2]Maria Hansson:
Optimization of weighting factors in the peak matched multiple window method. ICASSP 1997: 3973-3976 - 1996
- [j1]Tomas Gänsler, Maria Hansson, Carl-Johan Ivarsson, Göran Salomonsson:
A double-talk detector based on coherence. IEEE Trans. Commun. 44(11): 1421-1427 (1996) - 1995
- [c1]Maria Hansson, Tomas Gänsler, Göran Salomonsson:
A multiple window method for estimation of a peaked spectrum. ICASSP 1995: 1617-1620
Coauthor Index
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