We introduce a wavelet-weighted online dictionary learning (WWODL) denoising strategy for noisy microseismic recordings. We develop an adaptive parameters estimation approach for tunable Q -factor ...

In Python, NumPy provides the fundamental data structure and API for working with raw ND arrays. However, real-world datasets are usually more than just raw numbers; they have labels which encode ...

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Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

Sparse representation (SR) is making significant impact in the computer vision and signal processing communities due to its stunning performance in a variety of applications for images, e.g., ...