9 datasets found

The dataset is a collection of 345 traffic ST signals, each representing a traffic state.

The dataset contains m = 861 points equally spaced in time from [0, 1] and the total number of random features in SRMD is set to N = 20m = 17280.

The dataset contains m = 1000 points equally spaced in time from [0, 1] and the total number of random features in SRMD is set to N = 50m = 5000.

The dataset contains m = 1600 equally spaced in time points from [0, 10] and we set N = 10m = 16000.

The dataset contains m = 320 points equally spaced in time from [0, 2] and the total number of random features in SRMD is set to N = 50m = 16000.

The proposed method builds from the continuous STFT, that is, we represent a signal f ∈ L1([0, T ]) by f (t) = ∑∞ −∞ f (t)W (t − τ )dτ = ∑∞ ∑∞ −∞ −∞ α(ω, τ ) W (t − τ ) exp...

The dataset used in the paper is a simulated signal that consists of time-shifted copies from multiple sources, each with its own template.

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

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