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by
Fan, Bo, author.
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Excerpt:
, oceanography, and engineering. In geoscience methods, statistical signal processing, modeling, and machine
by
Chen, Daming, author.
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The first part of this research is to investigate signal processing methods to obtain a VS from
by
Zhang, Shijie, author.
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algorithms based on machine learning were developed for accelerated data processing for nonlinear optical
by
Ziadi, Khulud Saeed, author.
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plays an essential role in signal processing, image processing, sampling theory, and harmonic analysis
by
Peters, Nicholas, author.
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seismic signal. Since the first seismic experiments, to the present day, analysis of the seismic signal
by
Xie, Ziqian, author.
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differentiable signal processing modules and plug them together to build an adaptive online system. The system
by
Zhang, Qi, author.
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ℓ'1, p-norm regularizer, which induces sparsity in machine learning, signal error processing and
by
Faucette, Sarah P., author.
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speech in noise processing. Specifically, the phenomenon of "release from masking", the aptitude of the
by
Qi, Weiming, author.
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processing and fluid handling. A data analysis program was coded in MATLAB for plotting and calculating
by
Hecker, Joseph, author. (orcid)0000-0002-5334-6959
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fundamental assumptions of the underlying signal models on the processing algorithms used to calculate
by
Diehl, Geoffrey W., author.
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may play a role in episodic memory processing. Indeed, we observed changes in the firing rates of mEC
by
Mohammadi Ghazi, Reza, author.
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structural health monitoring (SHM). For signal processing, we have developed a feature extraction scheme that

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