Module noise_modeling_scirs2 

Advanced noise modeling using SciRS2’s statistical and machine learning capabilities

This module provides sophisticated noise modeling techniques leveraging SciRS2’s comprehensive statistical analysis, signal processing, and machine learning tools.

The module is organized into focused sub-modules for better maintainability:

• config: Configuration structures and enums
• types: Data type definitions and structures
• statistical: Statistical analysis and distribution modeling
• spectral: Spectral analysis and frequency domain methods
• temporal: Temporal correlation and time series analysis
• spatial: Spatial correlation and geographical analysis
• ml_integration: Machine learning model integration
• validation: Model validation and testing frameworks
• utils: Utility functions and helpers

Re-exports

pub use config::*;

pub use spectral::*;

pub use statistical::*;

pub use temporal::*;

Modules

config

Configuration structures and enums for SciRS2 noise modeling

spectral

Spectral noise analysis using SciRS2

statistical

Statistical noise analysis using SciRS2

temporal

Temporal correlation noise modeling using SciRS2

Structs

CorrelationAnalysis

Correlation analysis between noise sources

NoiseStatistics

Individual noise source statistics

SciRS2NoiseModeler

Main SciRS2 noise modeling coordinator

StatisticalNoiseAnalysis

Statistical noise analysis results

TemporalAnalysis

Temporal analysis of noise (placeholder for future implementation)