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Gravitational Data
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. -
Pure Sinusoidal Signals with Noise
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. -
Instantanenous Frequencies of Intersecting Time-Series
The dataset contains m = 1600 equally spaced in time points from [0, 10] and we set N = 10m = 16000. -
Discontinuous Time-Series
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. -
Sparse Random Mode Decomposition
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... -
Smooth signals dataset
Real-valued multi-dimensional time series data -
Sine waves dataset
Real-valued multi-dimensional time series data
