function flg = Expr3_can_recovery(Phi_far, N, M, n, s, eps)

    % select random n cols
    col_choose = randperm(N, n);
    Phi = Phi_far(col_choose, :);

    % generate sparse signal
    sparse_signal = zeros(M, N);
    block = randperm(N, s);
    sparse_signal(:, block) = exp(1i * 2 * pi * rand(M, s));

    % generate y
    y = Phi * sparse_signal(:);

    cvx_begin quiet
    variable x(M * N) complex
    minimize(norm(x, 1))
    subject to
    Phi * x == y
    cvx_end

    p = norm(x - sparse_signal(:), 2);

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

end