Fast and accurate demodulation of wideband signals

@inproceedings{Gabrielaitis2021FastAA,
  title={Fast and accurate demodulation of wideband signals},
  author={Mantas Gabrielaitis},
  year={2021}
}
Amplitude demodulation is a classical operation used in signal processing. For a long time, its effective applications in practice have been limited to narrowband signals. In this work, we generalize amplitude demodulation to wideband signals. We pose demodulation as a recovery problem of an oversampled corrupted signal and introduce special iterative schemes belonging to the family of alternating projection algorithms to solve it. Sensibly chosen structural assumptions on the demodulation… 

References

SHOWING 1-10 OF 81 REFERENCES
Gurobi Optimization, LLC, Gurobi optimizer reference manual
  • 2019
Simultaneous Sparse Recovery and Blind Demodulation
TLDR
This framework accomplishes sparse recovery and blind demodulation simultaneously by minimizing the induced atomic norm, which in this problem corresponds to the block $\ell _{1}$ norm minimization.
Speech rhythm and language acquisition: an amplitude modulation phase hierarchy perspective
  • U. Goswami
  • Medicine, Computer Science
    Annals of the New York Academy of Sciences
  • 2019
TLDR
The “amplitude modulation phase hierarchy” theoretical perspective on language acquisition is applicable across languages, and cross‐language investigations adopting this novel perspective would be valuable for the field.
OSQP: An Operator Splitting Solver for Quadratic Programs
TLDR
This technique is the first operator splitting method for quadratic programs able to reliably detect primal and dual infeasible problems from the algorithm iterates, making it particularly efficient when solving parametrized problems arising in finance, control, and machine learning.
Perceptually relevant speech tracking in auditory and motor cortex reflects distinct linguistic features
TLDR
Speech tracking in source-localised magnetoencephalographic data is analysed by directly focusing on timescales extracted from statistical regularities in the authors' speech material to reveal specific functional and perceptually relevant roles of distinct tracking and cross-frequency processes along the auditory–motor pathway.
Recognition of basic hand movements using Electromyography
TLDR
The aim of this work was to identify six basic movements of the hand using two systems, including an EMG system of Delsys initially for an individual and then for six people with the average successful classification, for these six movements at rates of over 80%.
Talkers produce more pronounced amplitude modulations when speaking in noise.
  • H. Bosker, M. Cooke
  • Computer Science, Medicine
    The Journal of the Acoustical Society of America
  • 2018
TLDR
Across four different corpora, modulation spectra showed greater power in amplitude modulations below 4 Hz in Lombard speech compared to matching plain speech, suggesting that noise-induced speech contains more pronounced amplitudemodulations, potentially helping the listening brain to entrain to the attended talker, aiding comprehension.
A review of demodulation techniques for amplitude-modulation atomic force microscopy
TLDR
Traditional and novel demodulation methods applicable to amplitude-modulation atomic force microscopy are implemented on a widely used digital processing system and the performance metrics tracking bandwidth, implementation complexity and sensitivity to other frequency components are experimentally evaluated for each method.
Brain-inspired speech segmentation for automatic speech recognition using the speech envelope as a temporal reference
TLDR
The role of the speech envelope is quantitatively investigated as a potential temporal reference to segment speech using its instantaneous phase information and the proposed segmentation scheme not only extracts more information from speech but also provides greater robustness in a recognition test.
Guaranteed Blind Sparse Spikes Deconvolution via Lifting and Convex Optimization
  • Yuejie Chi
  • Mathematics, Computer Science
    IEEE Journal of Selected Topics in Signal Processing
  • 2016
TLDR
A convex optimization framework to simultaneously estimate the point spread function as well as the spike signal is proposed, by mildly constraining the pointspread function to lie in a known low-dimensional subspace and it is proved the proposed algorithm, dubbed as AtomicLift, is guaranteed to recover the Spike signal up to a scaling factor as soon as the number of samples is large enough.
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