function flg = can_recovery(Psi, s, eps)
    [m, n] = size(Psi);

    x = zeros(n, 1);
    random_indices = randperm(n, s);
    x(random_indices) = randn(s, 1);
    x = sign(x);
    y = Psi * x;

    cvx_begin
    variable s1(n)
    minimize(norm(s1, 1))
    subject to
    norm(y - Psi * s1) <= eps
    cvx_end

    p = norm(x - s1, 2);

    if p < eps
        flg = 1;
    else
        flg = 0;
    end

end