  Let $\mathcal{X}$ be a Banach space. Let $\{\tau_j\}_{j=1}^n,
\{\omega_k\}_{k=1}^m\subseteq \mathcal{X}$ and $\{f_j\}_{j=1}^n$,
$\{g_k\}_{k=1}^m\subseteq \mathcal{X}^*$ satisfy $ |f_j(\tau_j)|\geq 1$ for all
$ 1\leq j \leq n$, $|g_k(\omega_k)|\geq 1 $ for all $1\leq k \leq m$. If $x \in
\mathcal{X}\setminus \{0\}$ is such that $x=\theta_\tau\theta_f
x=\theta_\omega\theta_g x$, then we show that \begin{align}\label{FKDB} (1)
\quad\quad\quad\quad \|\theta_fx\|_0\|\theta_gx\|_0\geq
\frac{\bigg[1-(\|\theta_fx\|_0-1)\max\limits_{1\leq j,r \leq n,j\neq
r}|f_j(\tau_r)|\bigg]^+\bigg[1-(\|\theta_g x\|_0-1)\max\limits_{1\leq k,s \leq
m,k\neq s}|g_k(\omega_s)|\bigg]^+}{\left(\displaystyle\max_{1\leq j \leq n,
1\leq k \leq m}|f_j(\omega_k)|\right)\left(\displaystyle\max_{1\leq j \leq n,
1\leq k \leq m}|g_k(\tau_j)|\right)}. \end{align}
  We call Inequality (1) as \textbf{Functional Kuppinger-Durisi-B\"{o}lcskei
Uncertainty Principle}. Inequality (1) improves the uncertainty principle
obtained by Kuppinger, Durisi and B\"{o}lcskei \textit{[IEEE Trans. Inform.
Theory (2012)]} (which improved the Donoho-Stark-Elad-Bruckstein uncertainty
principle \textit{[SIAM J. Appl. Math. (1989), IEEE Trans. Inform. Theory
(2002)]}). We also derive functional form of the uncertainity principle
obtained by Studer, Kuppinger, Pope and B\"{o}lcskei \textit{[EEE Trans.
Inform. Theory (2012)]}.
