系数 Resources

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Gauss_generator generates deterministic real Gaussian processes using parameters like Doppler shift, coefficient, and phase shift. The gaussian.m program specifically handles deterministic discrete Doppler shift, coefficient, and phase shift calculations. Rice_generator extends Rayleigh processes by incorporating line-of-sight components to produce Rice processes. Suzuki_generator creates deterministic Suzuki processes. Rayleigh_Doppler_multiPath.m and Rayleigh_Doppler_singlePath.m analyze Rayleigh multipath fading for multi-path and single-path scenarios respectively. rayleigh_Filter_Model.m implements a filter model for Rayleigh fading identification. pdf_cdf_gen.m generates probability density functions (PDFs) and cumulative distribution functions (CDFs). test_rayleigh_

MATLAB 245 views Tagged

This model implements a boost converter with PID control algorithm. The system employs proportional-integral-derivative (PID) control logic where adjusting the P, I, and D coefficients enables optimized dynamic response. The implementation includes parameter tuning methods for achieving desired performance characteristics.

MATLAB 227 views Tagged

Gauss_generator.m produces deterministic real Gaussian processes using parameters (Doppler shift, coefficients, phase shift). gaussian.m program determines discrete Doppler shifts, coefficients, and phase shifts. Rice_generator.m creates Rice processes by incorporating line-of-sight components into Rayleigh processes. Suzuki_generator.m generates deterministic Suzuki processes. Additional modules include Rayleigh_Doppler_multiPath.m, Rayleigh_Doppler_singlePath.m, rayleigh_Filter_Model.m, pdf_cdf_gen.m, test_rayleigh_

MATLAB 242 views Tagged

This program specializes in wavefront fitting for aspheric mirrors. It begins by importing discrete surface data, which can be sampled from ellipsoids, paraboloids, or obtained through computational software. The core algorithm employs Zernike polynomial fitting to derive coefficients for the aspheric surface equation, implementing numerical optimization techniques for coefficient calculation.

MATLAB 436 views Tagged