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 $δ_k$ is used in the definition: $(1 -δ_k)\|D v\|_2^2 \le \|ΦD v\|_2^2 \le (1 + δ_k)\|D v\|^2$. We prove that signals with $k$-sparse $D$-representation can be reconstructed if $δ_{2k} < \frac{2}3$. The approach in this note can be extended to obtain other D-RIP bounds (i.e., $δ_{tk}$).
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