6 datasets found

The dataset used in the paper is a collection of signals with known instantaneous frequencies, used for testing the proposed piecewise convex fitting method.

The DeepSNR detection pipeline uses a novel method for generating an SNR ranking statistic from deep learning classifiers, providing for the first time a foundation for powerful...

PhysioBank, PhysioToolKit, and PhysioNet: Components of a new research resource for complex physiologic signals.

The HARUS dataset is a human activity recognition dataset, containing 10,299 signals w.r.t. 6 activities.

The dataset used in this paper is a collection of radar and communication signal processing techniques.

The dataset is used for urban rail train transmission system fault diagnosis, and it is a collection of signals from 21 channels with a sampling frequency of 64kHZ.