分布图 Resources

Showing items tagged with "分布图"

1. Original signal A is transmitted through a noise-contaminated channel to obtain signal q, which is then processed through ZF (Zero Forcing) and MMSE (Minimum Mean Square Error) equalizers to generate signal U with distribution plotting capabilities. 2. Implementation of LMS (Least Mean Squares), SATO (Sato's algorithm), and CMA (Constant Modulus Algorithm) to derive signal U, incorporating optimal delay calculation and mean square error computation. All results are visualized through graphical representations with MATLAB implementation examples.

MATLAB 290 views Tagged

A 100x100 square area requires coverage using circles with radius 10. The centers are randomly placed within the 100x100 plane. How many circles are needed to ensure at least 95% probability of complete coverage? Includes a distribution diagram showing uniform random placement of circle centers.

MATLAB 254 views Tagged