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In this paper we propose a novel technique to estimate the parameters of two Gaussian envelope oscillatory signals, with the same time-locations and oscillatory frequencies but possibly different phases. The phase difference and the length of the Gaussian envelope are estimated directly from the slopes of the corresponding cross-spectrogram reassignment vectors. Including the phase difference and
This paper proposes an iterative algorithm to reconstruct missing samples from non-stationary signals. The proposed algorithm is based on the well-known amplitude-modulation frequency-modulation model for non-stationary signals. The method initially estimates the instantaneous frequencies of the observed multi-component signal. The estimated IFs are then used to de-chirp the corresponding componen
Joint time-frequency representations are important tools when estimating the instantaneous frequency. The widely used spectrogram is known to have poor energy localisation, which the reassignment method improves. However, the reassignment method is sensitive to noise. In this paper we present a multitaper reassigned spectrogram (MTRS) that is robust to noise and tailored to short duration transien
The underwater localization of a broadband target in the presence of strong interference and noise has been widely investigated. A novel clutter suppression approach based on oblique projections is proposed, exploiting the prior information of the expected target response. The method uses a generalised likelihood ratio formulation to select the oblique projection best matching the measured data. T
To ensure reliability and service availability, nextgeneration networks are expected to rely on automated anomaly detection systems powered by advanced machine learning methods with the capability of handling multi-dimensional data. Such multi-dimensional, heterogeneous data occurs mostly in todays Industrial Internet of Things (IIoT), where real-time detection of anomalies is critical to prevent
In this paper, we propose a blind channel deconvolution method based on a sparse reconstruction framework exploiting a wideband dictionary under the (relatively weak) assumption that the transmitted signal may be assumed to be well modelled as a sum of sinusoids. Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimatin
Combining forecasts from multiple temporal aggregation levels exploits information differences and mitigates model uncertainty, while reconciliation ensures a unified prediction that supports aligned decisions at different horizons. It can be challenging to estimate the full cross-covariance matrix for a temporal hierarchy, which can easily be of very large dimension, yet it is difficult to know a
The matched window reassigned spectrogram relocates all signal energy of an oscillating transient to the time- and frequency locations, resulting in a sharp peak in the time-frequency plane. However, previous research has shown that the method may result in split energy peaks for close components and in high noise levels, and the peak energy is then erroneously estimated. With use of novel knowled
In this work, we study under which circumstances it is appropriate to use simplified models for range determination using radar. Typically, pulsed radar systems result in the backscattered, demodulated, and matched signal having a chirp signal structure, with the frequency rate being related to the range to the reflecting target and the relative velocity of the transmitter and reflector. Far from
This work is concerned with determining optimal microphone placements that allow for an accurate location estimate of the sound sources, taking into account the expected signal structure of voiced speech, as well as the expected location areas and the typical range of the fundamental frequencies of the speakers. To determine preferable microphone placements, we propose a scheme that minimizes a th
Dredging operations in ports, rivers, and waterways are essential for maintaining navigable depths, but they result in large volumes of dredged sediments (DS) that are often unsuitable for immediate reuse due to their high moisture content, low strength, and contamination. Stabilization and solidification (S/S) techniques are widely employed to improve the geotechnical properties of DS, making theDredging operations in ports, rivers, and waterways are essential for maintaining navigable depths, but they result in large volumes of dredged sediments (DS) that are often unsuitable for immediate reuse due to their high moisture content, low strength, and contamination. Stabilization and solidification (S/S) techniques are widely employed to improve the geotechnical properties of DS, making the
Asphalt is made of a mixture of stones of different sizes and a binder called bitumen, the size distribution of the stones is determined by the recipe of the asphalt. One quality check of asphalt is to see if the real size distribution of asphalt samples is consistent with the recipe. This is usually done by first extracting the binder using methylenchloride and the sieving the stones and see how
Ultrasound imaging of the heart is a non-invasive method widely used for different applications. One of them is to measure the blood volume in the left ventricle at different stages of the heart cycle. This demands a proper segmentation of the left ventricle and a (semi-) automated method would decrease intra-variability as well as workload. This paper presents a semi-automated segmentation method t
The field of high dynamic range imaging addresses the problem of capturing and displaying the large range of luminance levels found in the world, using devices with limited dynamic range. In this paper we present a novel tone mapping algorithm that is based on $K$-means clustering. Using dynamic programming we are able to, not only solve the clustering problem efficiently, but also find the global
Indisputably Normalized Cuts is one of the most popular segmentation algorithms in pattern recognition and computer vision. It has been applied to a wide range of segmentation tasks with great success. A number of extensions to this approach have also been proposed, including ones that can deal with multiple classes or that can incorporate a priori information in the form of grouping constraints.
It is commonly believed that higher order smoothness should be modeled using higher order interactions. For example, 2nd order derivatives for deformable (active) contours are represented by triple cliques. Similarly, the 2nd order regularization methods in stereo predominantly use MRF models with scalar (1D) disparity labels and triple clique interactions. In this paper we advocate a largely over
Senior Lecturer Contact details Email: sara [dot] brogaard [at] LUCSUS [dot] lu [dot] se Phone: +46 46 222 05 13Organisation LUCSUS (Lund University Centre for Sustainability Studies) Visiting address: Josephson, Biskopsgatan 5, Lund Room number: Josephson, 218 Service point: 59 WebpageSara Brogaards profile in Lund University research portalOther affiliations Researcher Centre for Advanced Middle
https://www.lucsus.lu.se/sara-brogaard - 2026-07-14
Professor emeritus Kontaktinformation E-post: lars-gunnar [dot] svensson [at] nek [dot] lu [dot] se Telefon: +46 46 222 86 79Organisation Nationalekonomiska institutionen Rumsnummer: Alfa1:4085 Hämtställe: 10 WebbplatsLars-Gunnar Svenssons profil i Lunds universitets forskningsportal Publikationer Visar av publikationer. Sorterade efter år och sen titel. Filtrera efter typ AllaArtikel i vetenskapl
https://www.ehl.lu.se/lars-gunnar-svensson - 2026-07-14
Postdoktor Kontaktinformation E-post: jack [dot] adler-mckean [at] mhm [dot] lu [dot] seOrganisation Musiker- och kyrkomusikerutbildningarnas kansli (Musikhögskolan) WebbplatsJack Adler-Mckeans profil i Lunds universitets forskningsportalAndra roller Postdoktor Musiker- och kyrkomusikerutbildningarnas kansli (Musikhögskolan)Jack Adler-McKean är en artist och forskare som fokuserar på tubafamiljen
https://www.mhm.lu.se/jack-adler-mckean - 2026-07-14
In the study of motor systems it is often necessary to track the movements of an experimental animal in great detail to allow for interpretation of recorded brain signals corresponding to different control signals. This task becomes increasingly difficult when analyzing complex compound movements in freely moving animals. One example of a complex motor behavior that can be studied in rodents is th
