The lower bound of the PCM quantization error in high dimension

In this note, we investigate the performance of the PCM scheme with linear quantization rule for quantizing unit-norm tight frame expansions for ${\mathbb{R}}^d$ without the White Noise Hypothesis. In \cite{WX}, Wang and Xu showed that for asymptotically equidistributed unit-norm tight frame the PCM quantization error has an upper bound $\mathcal{O}({\delta }^{(d+1)\mathrm{/}2})$ and they conjecture the upper bound is sharp. In this note, we confirm the conjecture with employing the asymptotic estimate of the Bessel functions.