The purpose of this note is to establish a new generalized Dictionary-Restricted Isometry Property (D-RIP) sparsity bound constant for compressed sensing. For fulfilling D-RIP, the constant $\delta_k$ is used in the definition: $(1 -\delta_k)\|D v\|_2^2 \le \|\Phi D v\|_2^2 \le (1 + \delta_k)\|D v\|^2$. We prove that signals with $k$-sparse $D$-representation can be reconstructed if $\delta_{ 2k} < \frac{ 2}3$. The approach in this note can be extended to obtain other D-RIP bounds (i.e., $\delta_{ tk}$).
Categories: cs.IT math.IT