function [LASSO_lambda, recovery_results] = get_lambda(A, x, FAR_N, FAR_M, sigma, lambdas)

    noise = get_noise(sigma, FAR_N, 1);
    y = A * x;
    y_noise = y + noise;

    tau = 1e-6;
    iter_max = 1000;

    recovery_results = zeros(length(lambdas), 1);
    for lambda_idx = 1: length(lambdas)
        LASSO_lambda = lambdas(lambda_idx);
        [x_LASSO, x_hat_d] = cVAMPro(y_noise, A, LASSO_lambda, tau, iter_max);
        recovery_results(lambda_idx) = sum(real(x_LASSO(FAR_M + 1: 2 * FAR_M)));
        % if abs(recovery_results(lambda_idx) - FAR_M) / FAR_M < 0.01
        %     return
        % end
    end
end