高斯分布 Resources

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A MATLAB-implemented example program demonstrating Gibbs sampling from Gaussian distribution data. The code includes comprehensive comments for better understanding, making it particularly helpful for students learning Markov Chain Monte Carlo (MCMC) methods. Having experienced significant challenges while learning Gibbs sampling myself, I hope this code will assist others facing similar difficulties in grasping this important sampling technique.

MATLAB 318 views Tagged

The Chi-Square test evaluates distribution goodness-of-fit for various distributions including Normal, Log-Normal, Gaussian, Rayleigh, and Weibull distributions. This method incorporates data verification techniques along with statistical principles and computational approaches for implementation.

MATLAB 243 views Tagged

A collection of MATLAB source codes for generating various random processes, including Gaussian random variables, multivariate Gaussian process samples, and Gauss-Markov processes. Each program has been individually tested and verified for correctness.

MATLAB 246 views Tagged

Generate a uniformly distributed white noise signal with zero mean and power p, plot its waveform, and validate its distribution. Additionally, generate zero-mean Gaussian white noise with power 0.1, sinc signals, chirp signals, and demonstrate linear convolution operations with implementation details.

MATLAB 228 views Tagged