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Traffic ST Signal Dataset
The dataset is a collection of 345 traffic ST signals, each representing a traffic state. -
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... -
Joint Design of the Transmit and Receive Weights for Coherent FDA Radar
The dataset used in this paper is a frequency diverse array (FDA) radar system with M co-located transmit antennas and N co-located receive antennas. -
Simulated signal
The dataset used in the paper is a simulated signal that consists of time-shifted copies from multiple sources, each with its own template. -
Hyperspectral Unmixing
The dataset used in the paper is a hyperspectral unmixing problem with a nonconvex constraint. -
Binary-Signal Decoding
The dataset used in the paper is a binary-signal decoding problem with a nonconvex constraint. -
Lasry–Lions Envelopes and Nonconvex Optimization: A Homotopy Approach
The dataset used in the paper is a composite minimization problem with a nonconvex and nonsmooth term. -
Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization
The dataset used in this paper is a group-sparse signal denoising problem with overlapping groups. -
Domain-informed B-spline interpolation
The dataset used in this paper is a set of inhomogeneous domains with subdomains, and a set of samples s[k] taken from a continuous function s(x). -
Data set and reference models of EMPS
The Electro-Mechanical Positioning System (EMPS) benchmark. -
Coupled electric drives data set and reference models
The Coupled Electric Drive (CED) benchmark. -
Three benchmarks addressing open challenges in non-linear system identification
The Cascade Tank with overflow (CCT) benchmark. -
Signal dataset
The dataset used in the paper is a collection of signals with known instantaneous frequencies, used for testing the proposed piecewise convex fitting method. -
An evidential deep-learning classifier based on Dempster-Shafer theory and dee...
The proposed classifier consists of several stages for feature representation, a DS layer to construct mass functions, and an expected utility layer to make set-valued... -
PhysioBank, PhysioToolKit, and PhysioNet
PhysioBank, PhysioToolKit, and PhysioNet: Components of a new research resource for complex physiologic signals. -
RML2016.10a
The dataset used in this paper for Automatic Modulation Classification (AMC) using deep learning.
