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Mads Græsbøll Christensen

Mads Græsbøll Christensen

D-Index & Metrics

Computer Science

D-Index
33
Citations
5406
World Ranking
12574
National Ranking
61

Overview

Mads Græsbøll Christensen is affiliated with Aalborg University in Denmark. Their research spans multiple areas within computer science and engineering, with an emphasis on signal processing and related subfields.

The main fields of study for Christensen include:

  • Computer Science
  • Engineering

Within these fields, their subfields of study comprise:

  • Signal Processing
  • Computational Mechanics
  • Artificial Intelligence
  • Biomedical Engineering
  • Electrical and Electronic Engineering

Their work covers numerous topics related to audio and speech processing, adaptive filtering, and acoustic phenomena, including:

  • Speech and Audio Processing
  • Advanced Adaptive Filtering Techniques
  • Blind Source Separation Techniques
  • Acoustic Wave Phenomena Research
  • Speech Recognition and Synthesis
  • Hearing Loss and Rehabilitation
  • Music and Audio Processing

Christensen has contributed to several publication venues, with frequent appearances in:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Signal Processing
  • EURASIP Journal on Audio Speech and Music Processing

Selected recent papers include:

  • Artificial Neural Network Based Identification of Multi-Operating-Point Impedance Model, 2020, IEEE Transactions on Power Electronics
  • Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework, 2020, IEEE Transactions on Signal Processing
  • Signal-Adaptive and Perceptually Optimized Sound Zones With Variable Span Trade-Off Filters, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Privacy-Preserving Distributed Processing: Metrics, Bounds and Algorithms, 2021, IEEE Transactions on Information Forensics and Security
  • A new feedforward hybrid active control system for attenuating multi-frequency noise with bursty interference, 2020, Mechanical Systems and Signal Processing

Frequent collaborators in Christensen's work include:

  • Jesper Rindom Jensen
  • Liming Shi
  • Qiongxiu Li
  • Jesper Kjær Nielsen
  • Sankha Subhra Bhattacharjee

Best Publications

  • Joint DOA and multi-pitch estimation based on subspace techniques

    Johan Xi Zhang;Mads Græsbøll Christensen;Søren Holdt Jensen;Marc Moonen

  • Multi-Pitch Estimation

    Mads Christensen;Andreas Jakobsson

  • Theorems on Positive Data: on the Uniqueness of NMF

    Hans Laurberg;Mads Græsbøll Christensen;Mark D. Plumbley;Lars Kai Hansen

  • Sparse Linear Prediction and Its Applications to Speech Processing

    D. Giacobello;M. G. Christensen;M. N. Murthi;S. H. Jensen

  • Comparison of orthogonal matching pursuit implementations

    Bob L. Sturm;Mads Graesboll Christensen

  • Retrieving Sparse Patterns Using a Compressed Sensing Framework: Applications to Speech Coding Based on Sparse Linear Prediction

    D. Giacobello;M.G. Christensen;M.N. Murthi;S.H. Jensen

  • 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    Mads Græsbøll Christensen

  • Joint High-Resolution Fundamental Frequency and Order Estimation

    M.G. Christensen;A. Jakobsson;S.H. Jensen

  • Artificial Neural Network Based Identification of Multi-Operating-Point Impedance Model

    Mengfan Zhang;Xiongfei Wang;Dongsheng Yang;Mads Graesboll Christensen

  • Evaluation of Distance Measures Between Gaussian Mixture Models of MFCCs

    Jesper Højvang Jensen;Daniel P. W. Ellis;Mads Græsbøll Christensen;Søren Holdt Jensen

  • Sound source localization and speech enhancement with sparse Bayesian learning beamforming.

    Angeliki Xenaki;Jesper Bünsow Boldt;Mads Græsbøll Christensen

  • Nonlinear Least Squares Methods for Joint DOA and Pitch Estimation

    J. R. Jensen;M. G. Christensen;S. H. Jensen

  • Quantitative Analysis of a Common Audio Similarity Measure

    J.H. Jensen;M.G. Christensen;D.P.W. Ellis;S.H. Jensen

  • Fast fundamental frequency estimation: Making a statistically efficient estimator computationally efficient

    Jesper Kjær Nielsen;Tobias Lindstrøm Jensen;Jesper Rindom Jensen;Mads Græsbøll Christensen

  • Multi-pitch estimation exploiting block sparsity

    Stefan I. Adalbjörnsson;Andreas Jakobsson;Mads G. Christensen

  • Optimal Filter Designs for Separating and Enhancing Periodic Signals

    Mads Græsbøll Christensen;Andreas Jakobsson

  • A tempo-insensitive distance measure for cover song identification based on chroma features

    J.H. Jensen;M.G. Christensen;D.P.W. Ellis;S.H. Jensen

  • Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework

    Qiongxiu Li;Richard Heusdens;Mads Graesboll Christensen

  • Sinusoidal order estimation using angles between subspaces

    Mads Græsbøll Christensen;Andreas Jakobsson;Søren Holdt Jensen

  • IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05)

    Fredrik Nordén;Mads Græsbøll Christensen;Søren Holdt Jensen

  • Noise reduction with optimal variable span linear filters

    Jesper Rindom Jensen;Jacob Benesty;Mads Græsbøll Christensen

  • Retrieving Sparse Patterns Using a Compressed Sensing Framework: Applications to Speech Coding Based

    Daniele Giacobello;Mads Graesboll Christensen;Manohar N. Murthi;Soren Holdt Jensen

Frequent Co-Authors

Søren Holdt Jensen
Søren Holdt Jensen University of Extremadura
Jesper Jensen
Jesper Jensen Aalborg University
Andreas Jakobsson
Andreas Jakobsson Lund University
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique
Marc Moonen
Marc Moonen KU Leuven
Max A. Little
Max A. Little University of Birmingham
Zheng-Hua Tan
Zheng-Hua Tan Aalborg University
Tomi Kinnunen
Tomi Kinnunen University of Eastern Finland
Pasi Fränti
Pasi Fränti University of Eastern Finland
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)

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