Gauss_generator: Deterministic Real Gaussian Process Generation Using Parameters (Doppler Shift, Coefficient, Phase Shift)

Gauss_generator is a specialized tool for generating deterministic real Gaussian processes by utilizing parameters including Doppler shift, coefficients, and phase shifts. The implementation employs discrete parameterization methods to ensure reproducible results. Additionally, this tool can identify discrete Doppler shifts and phase shifts through analytical algorithms. Rice_generator is another utility that builds upon Rayleigh processes by integrating line-of-sight components, implementing Rice process generation through complex envelope combination techniques. Suzuki_generator specializes in creating deterministic Suzuki processes using hybrid statistical modeling approaches. Rayleigh_Doppler_multiPath.m and Rayleigh_Doppler_singlePath.m are dedicated tools for Rayleigh multipath fading analysis - the former handles multi-path scenarios using delay profile processing, while the latter focuses on single-path cases with simplified channel modeling. rayleigh_Filter_Model.m implements a filter-based approach for Rayleigh fading identification using digital filter design methodologies. pdf_cdf_gen.m provides statistical distribution generation capabilities, creating probability density functions and cumulative distribution functions through numerical computation algorithms. test_rayleigh_pdf.m and rayleigh.m serve as verification tools for testing Rayleigh distribution functions, employing statistical testing methods and goodness-of-fit evaluations. These tools collectively enhance signal processing and simulation workflows, enabling deeper understanding of signal transmission and reception mechanisms through practical implementation and testing frameworks.