Search Results - "Jensen, Tobias Lindstrøm"

Fast Link Adaptation for MIMO OFDM by Jensen, Tobias Lindstrøm, Kant, Shashi, Wehinger, Joachim, Fleury, Bernard Henri

“…We investigate link-quality metrics (LQMs) based on raw bit-error-rate, effective signal-to-interference-plus-noise ratio, and mutual information (MI) for the…”
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Computational complexity reduction in nonuniform compressed sensing by multi-coset emulation by Grigoryan, Ruben, Jensen, Tobias Lindstrøm, Larsen, Torben

“…Single-channel nonuniform sampling (SNS) is a Compressed Sensing (CS) approach that allows sub-Nyquist sampling of frequency sparse signals. The relatively…”
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Algorithms and software for total variation image reconstruction via first-order methods by Dahl, Joachim, Hansen, Per Christian, Jensen, Søren Holdt, Jensen, Tobias Lindstrøm

“…This paper describes new algorithms and related software for total variation (TV) image reconstruction, more specifically: denoising, inpainting, and…”
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Preparing infection detection technology for hospital at home after lower limb external fixation by Annadatha, Sowmya, Hua, Qirui, Fridberg, Marie, Lindstrøm Jensen, Tobias, Liu, Jianan, Kold, Søren, Rahbek, Ole, Shen, Ming

“…Background Patients with severe bone fractures and complex bone deformities are treated by orthopedic surgeons with external fixation for several months…”
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UWB Wind Turbine Blade Deflection Sensing for Wind Energy Cost Reduction by Zhang, Shuai, Jensen, Tobias Lindstrøm, Franek, Ondrej, Eggers, Patrick C F, Olesen, Kim, Byskov, Claus, Pedersen, Gert Frølund

“…A new application of utilizing ultra-wideband (UWB) technology to sense wind turbine blade deflections is introduced in this paper for wind energy cost…”
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A fast interior-point method for atomic norm soft thresholding by Hansen, Thomas Lundgaard, Jensen, Tobias Lindstrøm

“…•Provide a fast methods to solve the atomic norm soft thresholding problem.•The method is based on combining interior-point methods with fast methods for…”
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Fast fundamental frequency estimation: Making a statistically efficient estimator computationally efficient by Nielsen, Jesper Kjær, Jensen, Tobias Lindstrøm, Jensen, Jesper Rindom, Christensen, Mads Græsbøll, Jensen, Søren Holdt

“…Modelling signals as being periodic is common in many applications. Such periodic signals can be represented by a weighted sum of sinusoids with frequencies…”
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Experimental study of robust acoustic beamforming for speech acquisition in reverberant and noisy environments by Zhao, Yingke, Jensen, Jesper Rindom, Jensen, Tobias Lindstrøm, Chen, Jingdong, Græsbøll Christensen, Mads

“…The performance of adaptive beamformers may suffer from significant degradation in the presence of steering vector errors, statistics estimation errors, and…”
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Fast algorithms for high-order sparse linear prediction with applications to speech processing by Jensen, Tobias Lindstrøm, Giacobello, Daniele, van Waterschoot, Toon, Christensen, Mads Græsbøll

“…•Propose fast algorithms for sparse linear prediction.•Usage of NlogN algorithms for repeated solve of symmetric Toeplitz systems.•Can handle even quite large…”
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Stable 1-Norm Error Minimization Based Linear Predictors for Speech Modeling by Giacobello, Daniele, Christensen, Mads Grasboll, Jensen, Tobias Lindstrom, Murthi, Manohar N., Jensen, Soren Holdt, Moonen, Marc

“…In linear prediction of speech, the 1-norm error minimization criterion has been shown to provide a valid alternative to the 2-norm minimization criterion…”
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Multiple-Description l1-Compression by LINDSTRØM JENSEN, Tobias, STERGAARD, Jan Ø, DAHL, Joachim, HOLDT JENSEN, Søren

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Fast and statistically efficient fundamental frequency estimation by Nielsen, Jesper Kjor, Jensen, Tobias Lindstrom, Jensen, Jesper Rindom, Christensen, Mads Grosboll, Jensen, Soren Holdt

“…Fundamental frequency estimation is a very important task in many applications involving periodic signals. For computational reasons, fast…”
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A Fast Algorithm for Maximum-Likelihood Estimation of Harmonic Chirp Parameters by Jensen, Tobias Lindstrom, Nielsen, Jesper Kjar, Jensen, Jesper Rindom, Christensen, Mads Grasboll, Jensen, Soren Holdt

“…The analysis of (approximately) periodic signals is an important element in numerous applications. One generalization of standard periodic signals often…”
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Iterated smoothing for accelerated gradient convex minimization in signal processing by Jensen, Tobias Lindstrøm, Ostergaard, Jan, Jensen, Søren Holdt

“…In this paper, we consider the problem of minimizing a non-smooth convex problem using first-order methods. The number of iterations required to guarantee a…”
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An efficient first-order method for l1 compression of images by Dahl, Joachim, Ostergaard, Jan, Jensen, Tobias Lindstrom, Jensen, Soren Holdt

“…We consider the problem of lossy compression of images using sparse representations from overcomplete dictionaries. This problem is in principle easy to solve…”
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Mutual Information Metrics for Fast Link Adaptation in IEEE 802.11n by Jensen, T.L., Kant, S., Wehinger, J., Fleury, B.H.

“…We investigate link quality metrics (LQMs) based on mutual information (MI) for fast link adaptation (FLA) in IEEE 802.11n wireless local area network (WLAN)…”
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Computational analysis of a fast algorithm for high-order sparse linear prediction by Jensen, Tobias Lindstrom, Giacobello, Daniele, van Waterschoot, Toon, Christensen, Mads Grasboll

“…Using a sparsity promoting convex penalty function on high-order linear prediction coefficients and residuals has shown to result in improved modeling of…”
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Grid size selection for nonlinear least-squares optimisation in spectral estimation and array processing by Nielsen, Jesper Kjar, Jensen, Tobias Lindstrom, Jensen, Jesper Rindom, Christensen, Mads Grasboll, Jensen, Soren Holdt

“…In many spectral estimation and array processing problems, the process of finding estimates of model parameters often involves the optimisation of a cost…”
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An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces Based on a Minimum Variance Unbiased Estimator by Jensen, Tobias Lindstrom, De Carvalho, Elisabeth

“…In a wireless system with Intelligent Reflective Surfaces (IRS) containing many passive elements, we consider the problem of channel estimation. All the links…”
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Multiple-Description [Formula Omitted]-Compression by Jensen, Tobias Lindstrøm, Ostergaard, Jan, Dahl, Joachim, Jensen, Søren Holdt

“…Multiple descriptions (MDs) is a method to obtain reliable signal transmissions on erasure channels. An MD encoder forms several descriptions of the signal and…”
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