JuliaGaussianProcesses/KernelSpectralDensities.jl
A Julia package work with spectral densities of stationary kernels.
This tool helps scientists and engineers working with Gaussian processes to understand the underlying frequency components of their data. By inputting common stationary kernel functions, it provides the corresponding spectral densities, which are crucial for analyzing the smoothness and periodicity of signals. It's designed for researchers and practitioners in fields like signal processing, time series analysis, and machine learning.
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Use this if you need to analyze the frequency characteristics implied by your chosen kernel function in Gaussian process modeling.
Not ideal if you are looking for a general-purpose signal processing toolbox or if your data doesn't involve stationary kernel functions.
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Julia
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MIT
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Last pushed
Apr 21, 2025
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