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imdd_silas/Functions/Theory/CCDM/ccdm_gpt_example.m
2025-12-15 15:41:02 +01:00

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%% Target source entropy for PS-PAM8
clear; clc;
M = 8;
a = -(M-1):2:(M-1); % PAM-8 amplitude levels: [-7 -5 -3 -1 1 3 5 7]
H_target = 2.79; % desired entropy [bits/symbol]
% Objective: find nu such that H(PA) = H_target
f = @(nu) entropy_MB(a,nu) - H_target;
nu_opt = fzero(f, [0, 2]); % search ν in reasonable range
% Compute final distribution
P = exp(-nu_opt*a.^2);
P = P/sum(P);
H = -sum(P .* log2(P));
fprintf('Shaping parameter ν = %.4f\n', nu_opt);
fprintf('Entropy H(A) = %.3f bits/symbol\n', H);
disp('Probability vector (P_A):');
disp(P.');
%% Helper: entropy function
function H = entropy_MB(a,nu)
P = exp(-nu*a.^2);
P = P/sum(P);
H = -sum(P .* log2(P));
end