Researcher
Mads Græsbøll Christensen
Aalborg University
Statistics
252 papers found
Papers authored by Mads Græsbøll Christensen
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Rémi Gribonval
Recovery of Compressively Sampled Sparse Signals using Cyclic Matching Pursuit
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A. Taylan Cemgil,
Simon J. Godsill,
Søren Holdt Jensen
Bayesian Interpolation and Parameter Estimation in a Dynamic Sinusoidal Model
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Søren Holdt Jensen,
Marc Moonen
An iterative subspace-based multi-pitch estimation algorithm
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Søren Holdt Jensen
New Results on Perceptual Distortion Minimization and Nonlinear Least-Squares Frequency Estimation
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Jesper Kjar Nielsen
Joint direction-of-arrival and order estimation in compressed sensing using angles between subspaces
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Bob L. Sturm
A Perceptually Reweighted Mixed-Norm Method for Sparse Approximation of Audio Signals
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Søren Holdt Jensen
New Results on Single-Channel Speech Separation Using Sinusoidal Modeling
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Andreas Jakobsson
Optimal Filter Designs for Separating and Enhancing Periodic Signals
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Manohar N. Murthi,
Søren Holdt Jensen,
Marc Moonen
Enhancing Sparsity in Linear Prediction of Speech by Iteratively Reweighted 1-norm Minimization
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Søren Holdt Jensen,
Scott C. Douglas
Sinusoidal masks for single channel speech separation
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Søren Holdt Jensen,
Marc Moonen
High-Order Sparse Linear Predictors for Audio Processing
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Andreas Jakobsson
Improved Subspace-based Frequency Estimation for Real-Valued Data using Angles between Subspaces
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Søren Holdt Jensen,
Pasi Fränti
Signal-to-Signal Ratio Independent Speaker Identification for Co-channel Speech Signals
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Søren Holdt Jensen
Error-Correction of Binary Masks using Hidden Markov Models
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Cyclic Matching Pursuits with Multiscale Time-frequency Dictionaries
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Sören Holdt Jensen,
Pasi Fränti
Improving monaural speaker identification by double-talk detection
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Søren Holdt Jensen
Fundamental Frequency Estimation using Polynomial Rooting of a Subspace-Based Method
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Søren Holdt Jensen,
Marc Moonen
A Robust and Computationally Efficient Subspace-based Fundamental Frequency Estimator
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Pasi Fränti,
Søren Holdt Jensen
Joint Single-Channel Speech Separation and Speaker Identification
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