Performance Analysis for Vector Quantization of Distributed Source

The complexity of vector quantization increase exponentially with the vector dimension limits the dimension that can be used in quantizer. But the quantitative relation of performance and complexity isn't clear for quantization of distributed source. In this paper, the rate and distortion of distributed source vector quantization are characterized and analyzed through the point density function of a quantizer. The function of rate, distortion and dimension is then derived. Moreover, the asymptotically performance of vector quantization are analyzed. Simulation results show that vector quantization of distributed source can approach Wyner-Ziv bound in the lower dimension case.