Publications

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  1. SlimNet: A Lightweight Attentive Network for Speech-Music-Noise Classification and Voice Activity Detection

    Nicolas Shu, You Wang, Desmond Caulley, and David V. Anderson. EDGE 2024.

  2. Audiosockets: A Python socket package for Real-Time Audio Processing

    Nicolas Shu and David V. Anderson. CoRR abs/2403.09789, 2024.

  3. Tensor Robust CUR for Compression and Denoising of Hyperspectral Data

    Mohammad M. Salut and David V. Anderson. IEEE Access, 2023.

  4. Randomized Tensor Robust PCA for Noisy Hyperspectral Image Classification

    Mohammad M. Salut and David V. Anderson. IEEE Geoscience and Remote Sensing Letters, 2023.

  5. Online Tensor Robust Principal Component Analysis

    Mohammad M. Salut and David V. Anderson. IEEE Access, 2022.

  6. Evaluation of a Head-Tongue Controller for Power Wheelchair Driving by People With Quadriplegia

    Nordine Sebkhi, Arpan Bhavsar, Md Nazmus Sahadat, Jesse Baldwin, Erica Walling, Amber Biniker, Michelle Hoefnagel, Geneva Tonuzi, Raine Osborne, David V. Anderson, and Omer T. Inan. IEEE Transactions on Biomedical Engineering, 2022.

  7. Hybrid Attention-Based Prototypical Networks for Few-Shot Sound Classification

    You Wang and David V. Anderson. ICASSP 2022.

  8. Practical High-Fidelity Sensing of the Sleep Environment in the Home

    Clayton Ewing Feustel, Nicolas Shu, Gari D. Clifford, David V. Anderson, and Craig Zimring. PETRA 2022.

  9. Inertial Measurements for Tongue Motion Tracking Based on Magnetic Localization with Orientation Compensation

    Nordine Sebkhi, Arpan Bhavsar, David V. Anderson, Jun Wang, and Omer T. Inan. IEEE Sensors Journal, 2021.

  10. Evaluation of Multimodal Tongue Drive System by People with Tetraplegia for Computer Access

    Md Nazmus Sahadat, Nordine Sebkhi, Erica Walling, Michelle Hoefnagel, Fulcher Chris, Fanpeng Kong, Geneva Tonuzi, Osborne Raine, Maysam Ghovanloo, and David Anderson. TechRxiv, 2021.

  11. I-vector Based Within Speaker Voice Quality Identification on connected speech

    Chuyao Feng, Eva van Leer, Mackenzie Lee Curtis, and David V. Anderson. CoRR abs/2102.07307, 2021.

  12. A Multi-Channel Temporal Attention Convolutional Neural Network Model for Environmental Sound Classification

    You Wang, Chuyao Feng, and David V. Anderson. ICASSP 2021.

  13. Best Practices for Designing and Training Neural Networks Subjected to Random Variations

    Devon Janke and David V. Anderson. ISCAS 2021.

  14. Audio-based Bayesian model for productivity estimation of cyclic construction activities

    Chris Sabillon, Abbas Rashidi, Biswanath Samanta, Mark A. Davenport, and David V. Anderson. Journal of Computing in Civil Engineering, 2020.

  15. Analyzing the Effects of Noise and Variation on the Accuracy of Analog Neural Networks

    Devon Janke and David V. Anderson. IEEE Midwest Symposium on Circuits and Systems, 2020.

  16. Sparse coding using the locally competitive algorithm on the TrueNorth neurosynaptic system

    Kaitlin L. Fair, Daniel R. Mendat, Andreas G. Andreou, Christopher J. Rozell, Justin Romberg, and David V. Anderson. Frontiers in Neuroscience, 2019.

  17. Optimization of tongue gesture processing algorithm for standalone multimodal tongue drive system

    Md Nazmus Sahadat, Nordine Sebkhi, David V. Anderson, and Maysam Ghovanloo. IEEE Sensors Journal, 2019.

  18. Evaluation of software and hardware settings for audio-based analysis of construction operations

    Chieh-Feng Cheng, Abbas Rashidi, Mark A. Davenport, and David V. Anderson. International Journal of Civil Engineering, 2019.

  19. Identification of Voice Quality Variation Using I-Vectors

    Chuyao Feng, Eva van Leer, and David V. Anderson. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019.

  20. A weighted accent classification using multiple words

    Muhammad Rizwan and David V. Anderson. Neurocomputing, 2018.

  21. AF detection from ECG recordings using feature selection, sparse coding, and ensemble learning

    Muhammed Rizwan, Bradley M. Whitaker, and David V. Anderson. Physiological Measurement, 2018.

  22. Audio classification based on weakly labeled data

    Chieh-Feng Cheng, David V. Anderson, Mark A. Davenport, and Abbas Rashidi. IEEE Statistical Signal Processing Workshop, 2018.

  23. A productivity forecasting system for construction cyclic operations using audio signals and a Bayesian approach

    Chris A. Sabillon, Abbas Rashidi, Biswanath Samanta, Chieh-Feng Cheng, Mark A. Davenport, and David V. Anderson. Construction Research Congress 2018.

  24. Outlier learning via augmented frozen dictionaries

    B. T. Carroll, B. M. Whitaker, W. Dayley, and David V. Anderson. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017.

  25. Activity analysis of construction equipment using audio signals and support vector machines

    Chieh-Feng Cheng, Abbas Rashidi, Mark A. Davenport, and David V. Anderson. Automation in Construction, 2017.

  26. Combining sparse coding and time-domain features for heart sound classification

    Bradley M. Whitaker, Pradyumna Byappanahalli Suresha, Chengyu Liu, Gari D. Clifford, and David V. Anderson. Physiological Measurement, 2017.

  27. A framework for speech enhancement using extreme learning machines

    Babafemi O. Odelowo and David V. Anderson. Asilomar Conference on Signals, Systems, and Computers, 2017.

  28. A Mask-Based Post Processing Approach for Improving the Quality and Intelligibility of Deep Neural Network Enhanced Speech

    Babafemi O. Odelowo and David V. Anderson. IEEE International Conference on Machine Learning and Applications, 2017.

  29. Face recognition for vehicle personalization with near infrared frame differencing

    Jinwoo Kang, David V. Anderson, and Monson H. Hayes III. IEEE Transactions on Consumer Electronics, 2016.

  30. Audio signal processing for activity recognition of construction heavy equipment

    Chieh-Feng Cheng, Abbas Rashidi, Mark A. Davenport, and David V. Anderson. ISARC 2016.

  31. Modulation spectral features: In pursuit of invariant representations of music with application to unsupervised source identification

    Nashlie H. Sephus, Aaron D. Lanterman, and David V. Anderson. Journal of New Music Research, 2015.

  32. Direct Image Alignment for Active Near Infrared Image Differencing

    Jinwoo Kang, David V. Anderson, and Monson H. Hayes III. ACIVS 2015.

  33. Adaptive likelihood codebook reordering vector quantization for 1-D data sources

    Chu Meh Chu, Nathan V. Parrish, and David V. Anderson. IEEE Signal Processing and Signal Processing Education Workshop, 2015.

  34. Classification Using Residual Vector Quantization with Markov-Bayesian Structure

    Syed Irteza Ali Khan, David V. Anderson, and Christopher F. Barnes. Data Compression Conference, 2015.

  35. Incremental lattice reduction systems and methods

    Brian Gestner, David V. Anderson, and Xiaoli Ma. US Patent 8,948,318, 2015.

  36. Speech processing on a reconfigurable analog platform

    Shubha Ramakrishnan, Arindam Basu, Leung Kin Chiu, Jennifer Hasler, David V. Anderson, and Stephen Brink. IEEE Transactions on Very Large Scale Integration Systems, 2014.

  37. Sparse decomposition of audio spectrograms for automated disease detection in chickens

    Bradley M. Whitaker, Brian T. Carroll, W. Daley, and David V. Anderson. IEEE Global Conference on Signal and Information Processing, 2014.

  38. Detecting symptoms of diseases in poultry through audio signal processing

    Brian T. Carroll, David V. Anderson, W. Daley, S. Harbert, D. F. Britton, and M. W. Jackwood. IEEE Global Conference on Signal and Information Processing, 2014.

  39. Evaluating the generalization of the hearing aid speech quality index (HASQI)

    A. A. Kressner, David V. Anderson, and Christopher J. Rozell. IEEE Transactions on Audio, Speech, and Language Processing, 2013.

  40. Likelihood codebook reordering vector quantization

    Chu Meh Chu and David V. Anderson. IEEE International Conference on Acoustics, Speech and Signal Processing, 2013.

  41. Incremental lattice reduction: Motivation, theory, and practical implementation

    Brian Gestner, Xiaoli Ma, and David V. Anderson. IEEE Transactions on Wireless Communications, 2012.

  42. Scaling energy per operation via an asynchronous pipeline

    Bo Marr, Brian Degnan, Paul Hasler, and David V. Anderson. IEEE Transactions on Very Large Scale Integration Systems, 2012.

  43. Perceptually inspired noise-reduction method for binaural hearing aids

    J. I. Marin-Hurtado, D. N. Parikh, and D. V. Anderson. IEEE Transactions on Audio, Speech, and Language Processing, 2012.

  44. Preservation of localization cues in BSS-based noise reduction: Application in binaural hearing aids

    Jorge Marin-Hurtado and David V. Anderson. Independent Component Analysis for Audio and Biosignal Applications, 2012.

  45. Storytelling—the missing art in engineering presentations

    David V. Anderson. IEEE Signal Processing Magazine, 2011.

  46. Lattice reduction for MIMO detection: From theoretical analysis to hardware realization

    Brian Gestner, Wei Zhang, Xiaoli Ma, and David V. Anderson. IEEE Transactions on Circuits and Systems I, 2011.

  47. FFT-based block processing in speech enhancement: Potential artifacts and solutions

    J. Marin Hurtado and David V. Anderson. IEEE Transactions on Audio, Speech and Language Processing, 2011.

  48. Learning distances to improve phoneme classification

    R. Curtin, N. Vasiloglou, and David V. Anderson. IEEE International Workshop on Machine Learning for Signal Processing, 2011.

  49. Semi-supervised hierarchy learning using multiple-labeled data

    Ailar Javadi, Alexander Gray, David Anderson, and Visar Berisha. IEEE International Workshop on Machine Learning for Signal Processing, 2011.

  50. Error immune logic for low power probabilistic computing

    Bo Marr, Jason George, Brian Degnan, David V. Anderson, and Paul E. Hasler. VLSI Design, 2010.

  51. Modified sliding-block distributed arithmetic with offset binary coding for adaptive filters

    Walter Huang and David V. Anderson. Journal of Signal Processing Systems, 2010.

  52. Fixed-point Signal Processing

    Wayne T. Padgett and David V. Anderson. Morgan & Claypool Synthesis Lectures on Signal Processing, 2009.

  53. Designing low-complexity equalizers for wireless systems

    Wei Zhang, Xiaoli Ma, Brian Gestner, and David V. Anderson. IEEE Communications Magazine, 2009.

  54. Net-sensitivity-based optimization of large-scale field-programmable analog array placement and routing

    Faik Baskaya, David V. Anderson, and Sung Kyu Lim. IEEE Transactions on Circuits and Systems II, 2009.

  55. Trends in multicore DSP platforms

    L. J. Karam, I. Alkamal, A. Gatherer, G. A. Frantz, D. V. Anderson, and B. L. Evans. IEEE Signal Processing Magazine, 2009.

  56. Non-negative Matrix Factorization, Convexity and Isometry

    Nikolaos Vasiloglou, Alexander G. Gray, and David V. Anderson. SIAM International Conference on Data Mining, 2009.

  57. A reconfigurable mixed-signal VLSI implementation of distributed arithmetic used for finite-impulse response filtering

    Erhan Ozalevli, Walter Huang, Paul E. Hasler, and David V. Anderson. IEEE Transactions on Circuits and Systems I, 2008.

  58. A bandpass filter for inherent gain adaptation for hearing applications

    Kofi M. Odame, David V. Anderson, and Paul Hasler. IEEE Transactions on Circuits and Systems I, 2008.

  59. Reconfigurable mixed-signal VLSI implementation of distributed arithmetic

    Erhan Ozalevli, Paul Hasler, David V. Anderson, and Walter G. Huang. US Patent 7,348,909, 2008.

  60. An analog programmable multidimensional radial basis function based classifier

    Sheng-Yu Peng, Paul E. Hasler, and David V. Anderson. IEEE Transactions on Circuits and Systems I, 2007.

  61. Using auditory saliency to understand complex auditory scenes

    Varinthira Duangudom and David V. Anderson. European Signal Processing Conference, 2007.

  62. An analog programmable multi-dimensional radial basis function based classifier

    Sheng-Yu Peng, Paul E. Hasler, and David V. Anderson. VLSI-SoC 2007.

  63. Placement for large-scale floating-gate field-programable analog arrays

    Faik Baskaya, Sasank Reddy, Sung Kyu Lim, and David V. Anderson. IEEE Transactions on Very Large Scale Integration Systems, 2006.

  64. A CMOS floating-gate matrix transform imager

    Abhishek Bandyopadhyay, Paul Hasler, and David V. Anderson. IEEE Sensors Journal, 2005.

  65. Analog floating-gate, on-chip auditory sensing system interfaces

    Paul Hasler, Paul D. Smith, Rich Ellis, David Graham, and David Anderson. IEEE Sensors Journal, 2005.

  66. A physiologically inspired method for audio classification

    Sourabh Ravindran, Kristopher Schlemmer, and David V. Anderson. EURASIP Journal on Advances in Signal Processing, 2005.

  67. Developing large-scale field-programmable analog arrays for rapid prototyping

    Tyson S. Hall, Christopher M. Twigg, Paul Hasler, and David V. Anderson. International Journal of Embedded Systems, 2005.

  68. LMS adaptive filters using distributed arithmetic for high throughput

    Daniel J. Allred, David V. Anderson, Walter Huang, Venkatesh Krishnan, and Heejong Yoo. IEEE Transactions on Circuits and Systems I, 2005.

  69. A framework for teaching real-time digital signal processing with field-programmable gate arrays

    Tyson S. Hall and David V. Anderson. IEEE Transactions on Education, 2005.

  70. Large-scale field-programmable analog arrays for analog signal processing

    Tyson S. Hall, Christopher M. Twigg, Jordan D. Gray, Paul Hasler, and David V. Anderson. IEEE Transactions on Circuits and Systems I, 2005.

  71. Floating-gate analog circuit

    Jeff Dugger, Tyson S. Hall, Paul Hasler, David V. Anderson, Paul D. Smith, Matthew R. Kucic, and Abhishek Bandyopadhyay. US Patent 6,898,097, 2005.

  72. Joint design of channel-optimized multistage vector quantizer

    Venkatesh Krishnan and David V. Anderson. IEEE Signal Processing Letters, 2004.

  73. Optimal multistage vector quantization of LPC parameters over noisy channels

    Venkatesh Krishnan, David V. Anderson, and Kwan Truong. IEEE Transactions on Speech and Audio Processing, 2004.

  74. DSP for practicing engineers: a case study in Internet course delivery

    Paul S. Hong, David V. Anderson, Douglas B. Williams, Thomas P. Barnwell III, Joel R. Jackson, Monson H. Hayes III, Ronald W. Schafer, and John D. Echard. IEEE Transactions on Education, 2004.

  75. High fill-factor imagers for neuromorphic processing enabled by floating-gate circuits

    Paul Hasler, Abhishek Bandyopadhyay, and David V. Anderson. EURASIP Journal on Applied Signal Processing, 2003.

  76. Cooperative analog-digital signal processing

    Paul Hasler and David V. Anderson. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002.

  77. Adaptive filter featuring spectral gain smoothing and variable noise multiplier for noise reduction, and method therefor

    David V. Anderson, Stephen McGrath, and Kwan Truong. US Patent 6,351,731, 2002.

  78. Speech activity detector for use in noise reduction system, and methods therefor

    David V. Anderson, Stephen McGrath, and Kwan Truong. US Patent 6,453,285, 2002.

  79. DSP for practicing engineers: an online course for continuing DSP education

    Joel R. Jackson, Thomas P. Barnwell III, Douglas B. Williams, Monson H. Hayes III, David V. Anderson, and Ronald W. Schafer. IEEE International Conference on Acoustics, Speech and Signal Processing, 2001.

  80. An on-line DSP course for practicing engineers

    David V. Anderson, Thomas P. Barnwell, Monson H. Hayes, Joel R. Jackson, Ronald W. Schafer, and Douglas B. Williams. Signal Processing Education Workshop, 2000.

  81. Audio signal noise reduction using multi-resolution sinusoidal modeling

    David V. Anderson and Mark A. Clements. IEEE International Conference on Acoustics, Speech and Signal Processing, 1999.

  82. DSP First - a first course in ECE

    David V. Anderson, James H. McClellan, Ronald W. Schafer, Jeffrey B. Schodorf, and Mark A. Yoder. Asilomar Conference on Signals, Systems and Computers, 1996.

  83. Speech analysis and coding using a multi-resolution sinusoidal transform

    David V. Anderson. IEEE International Conference on Acoustics, Speech and Signal Processing, 1996.

  84. Evaluation of a hearing compensation algorithm

    David V. Anderson, Richard W. Harris, and Douglas M. Chabries. IEEE International Conference on Acoustics, Speech and Signal Processing, 1995.

  85. Application of a human auditory model to loudness perception and hearing compensation

    Douglas M. Chabries, David V. Anderson, Thomas G. Stockham, Jr., and Richard W. Christiansen. IEEE International Conference on Acoustics, Speech and Signal Processing, 1995.

  86. Model based development of a hearing aid

    David V. Anderson. Brigham Young University, Department of Electrical and Computer Engineering, 1994.