Files
FAR_CS/basic/cVAMPro.m
T
2024-07-16 15:54:44 +08:00

83 lines
1.8 KiB
Matlab
Executable File

% Input: y,A,lambda,tau,Kit
% Output: x_hat_wl,x_hat_d
% Main structure of cVAMP
function [x_hat_wl, x_hat_d] = cVAMPro(y, A, lambda, tau, Kit)
% Initialization
[M, N] = size(A);
gamma = M / N;
k = 0;
p = ctranspose(A) * y;
h_1 = p;
Q_1 = gamma;
tau_d = 1;
% Iteration
while ((k < Kit) && (tau_d > tau))
% Factorized Part
x_1 = ST(h_1, lambda, Q_1);
chi_1 = F1(x_1, lambda, Q_1);
% Message Passing
h_2 = x_1 / chi_1 - h_1;
Q_2 = 1 / chi_1 - Q_1;
% Gaussian Part
t1 = (p + h_2) / Q_2;
t2 = ctranspose(A) * (A * (p + h_2)) / ((Q_2 + 1) * Q_2);
x_2 = t1 - t2;
chi_2 = gamma / (Q_2 + 1) + (1 - gamma) / Q_2;
% Message Passing
h_1_next = x_2 ./ chi_2 - h_2;
Q_1_next = 1 / chi_2 - Q_2;
tau_d = norm(h_1_next - h_1, Inf) / norm(h_1_next, Inf);
k = k + 1;
% output
x_hat_wl = x_1;
x_hat_d = h_1_next / Q_1_next;
% next
h_1 = h_1_next;
Q_1 = Q_1_next;
end
end
% SoftThreshold function
function x = ST(h_1, lambda, Q_1)
[N, M] = size(h_1);
x = zeros(N, M);
for i = 1:N
sign = h_1(i) ./ abs(h_1(i));
diff = abs(h_1(i)) - lambda(i);
x(i) = sign .* (diff ./ Q_1) .* SF(diff);
end
end
% Heaviside's step function
function v = SF(a)
if a > 0
v = 1;
elseif a == 0
v = 0; % at zero points
else
v = 0;
end
end
% Calculation of chi_1
function chi_1 = F1(x_1, lambda, Q_1)
[N, M] = size(x_1);
count = 0;
for i = 1:N
temp = Q_1 * abs(x_1(i)) + lambda(i);
count = count + (2 - lambda(i) / temp) * SF(abs(x_1(i)));
% count = count + (2-lambda(i)/temp) * (abs(x_1(i)) > 1e-4);
end
chi_1 = count / (2 * N * Q_1);
end