29 citations · 72 across the 14 of their papers we have counts for
18 papers
Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming
Hao Liang, Guanxing Zhou, Xiaotong Tu +3
Recently, many forms of audio industrial applications, such as sound monitoring and source localization, have begun exploiting smart multi-modal devices equipped with a microphone…
Coherent FDA Receiver and Joint Range-Space-Time Processing
Wenkai Jia, Andreas Jakobsson, Wen-Qin Wang
When a target is masked by mainlobe clutter with the same Doppler frequency, it is difficult for conventional airborne radars to determine whether a target is present in a given ob…
Fisher Information in Time-Domain Spectroscopy
Luca Bolzonello, Niek F van Hulst, Andreas Jakobsson
Spectroscopy detected in the time domain entails many techniques, such as FTIR, pump-probe, FT-Raman, and 2DES, and applications, such as molecule characterization, excited state d…
Time-Range FDA Beampattern Characteristics
Wenkai Jia, Andreas Jakobsson, Wen-Qin Wang
Current literature show that frequency diverse arrays (FDAs) are able of producing range-angle-dependent and time-variant transmit beampatterns, but the resulting time and range de…
Designing FDA Radars Robust to Contaminated Shared Spectra
Wenkai Jia, Andreas Jakobsson, Wen-Qin Wang
This paper considers the problem of jointly designing the transmit waveforms and weights for a frequency diverse array (FDA) in a spectrally congested environment in which unintent…
Waveform Optimization with SINR Criteria for FDA Radar in the Presence of Signal-Dependent Mainlobe Interference
Wenkai Jia, Andreas Jakobsson, Wen-Qin Wang
In this paper, we focus on the design of the transmit waveforms of a frequency diverse array (FDA) in order to improve the output signal-to-interference-plus-noise ratio (SINR) in…
An efficient solver for designing optimal sampling schemes
Filip Elvander, Johan Swärd, Andreas Jakobsson
In this short paper, we describe an efficient numerical solver for the optimal sampling problem considered in "Designing Sampling Schemes for Multi-Dimensional Data". An implementa…
Determining Joint Periodicities in Multi-time Data With Sampling Uncertainties
David Svedberg, Filip Elvander, Andreas Jakobsson
In this work, we introduce a novel approach for determining a joint sparse spectrum from several non-uniformly sampled data sets, where each data set is assumed to have its own, po…
Defining Fundamental Frequency for Almost Harmonic Signals
Filip Elvander, Andreas Jakobsson
In this work, we consider the modeling of signals that are almost, but not quite, harmonic, i.e., composed of sinusoids whose frequencies are close to being integer multiples of a…
Compressed Sensing for Reconstructing Coherent Multidimensional Spectra
Zhengjun Wang, Shiwen Lei, Khadga Jung Karki +2
We apply two sparse reconstruction techniques, the least absolute shrinkage and selection operator (LASSO) and the sparse exponential mode analysis (SEMA), to two-dimensional (2D)…
On Harmonic Approximations of Inharmonic Signals
Filip Elvander, Jie Ding, Andreas Jakobsson
In this work, we present the misspecified Gaussian Cramér-Rao lower bound for the parameters of a harmonic signal, or pitch, when signal measurements are collected from an almost,…
Mismatched Estimation of Polynomially Damped Signals
Filip Elvander, Johan Swärd, Andreas Jakobsson
In this work, we consider the problem of estimating the parameters of polynomially damped sinusoidal signals, commonly encountered in, for instance, spectroscopy. Generally, findin…
Multi-Marginal Optimal Mass Transport with Partial Information
Filip Elvander, Isabel Haasler, Andreas Jakobsson +1
During recent decades, there has been a substantial development in optimal mass transport theory and methods. In this work, we consider multi-marginal problems wherein only partial…
Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport
Filip Elvander, Isabel Haasler, Andreas Jakobsson +1
This work presents a method for information fusion in source localization applications. The method utilizes the concept of optimal mass transport in order to construct estimates of…
Interpolation and Extrapolation of Toeplitz Matrices via Optimal Mass Transport
Filip Elvander, Andreas Jakobsson, Johan Karlsson
In this work, we propose a novel method for quantifying distances between Toeplitz structured covariance matrices. By exploiting the spectral representation of Toeplitz matrices, t…
Designing Sampling Schemes for Multi-Dimensional Data
Johan Swärd, Filip Elvander, Andreas Jakobsson
In this work, we propose a method for determining a non-uniform sampling scheme for multi-dimensional signals by solving a convex optimization problem reminiscent of the sensor sel…
CFAR Adaptive Matched Detector for Target Detection in Non-Gaussian Noise With Inverse Gamma Texture
Shiwen Lei, Andreas Jakobsson, Zhiqin Zhao
In this paper, we propose an adaptive matched detector of a signal corrupted by a non-Gaussian noise with an inverse gamma texture. The detector is formed using a set of secondary…
Generalized Sparse Covariance-based Estimation
Johan Swärd, Stefan Ingi Adalbjörnsson, Andreas Jakobsson
In this work, we extend the sparse iterative covariance-based estimator (SPICE), by generalizing the formulation to allow for different norm constraints on the signal and noise par…