A Julia package work with spectral densities of stationary kernels.
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Updated
Mar 13, 2026 - Julia
A Julia package work with spectral densities of stationary kernels.
This project, developed in Python, simulates a digital communication system using Pulse Amplitude Modulation (PAM).
Implements the Cavity Method on a 1D Ising model, derives the Wigner semicircle law via Random Matrix Theory, and explores electron conduction in disordered systems using the Anderson model.
This repository houses a comprehensive Graphical User Interface (GUI) tool designed for analyzing and visualizing random variables (RVs) and random processes (RPs). The tool allows users to input specific values and parameters of RVs and RPs, enabling the generation of statistical data, graphical representations, and calculations related
Free probability for large matrices
Non-Markovian quantum dynamics solver with a Boltzmann memory kernel (MaxEnt-derived) - a diagnostic tool for open quantum systems beyond Lindblad.
Spectral reconstruction of lattice correlators with the HLT method in arbitrary precision
Synthetic-field simulation with 2D spectra, resonance analysis, and anomaly detection (LOF) for dark-matter inspired patterns.
Preprint and data for non-linear spectral structures without complexification (MSC 47J10)
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