Our intention of testing the bit range of 700 900 was just to evaluate the granularity of the designed embedded quantizer.
Table 2 summarizes the bit allocation for every codebook at various rates used for the LSF embedded quantizer.
In the scalable image coding method introduced in [7] by Said and Pearlman, wavelet coefficients are quantized using scalar embedded quantizers.
In this paper, we deal with quantizer design rather than assigning the quantization bits to features.
Finally, we return to the more general statement of the quantizer design problem and study entropy-coded quantization.
For this, we present the following results: (i) A proof of the necessary Lloyd-Max conditions for optimality of a graph quantizer, (ii) consistency statements for optimal graph quantizer design, and (iii) an accelerated version of competitive learning graph quantization.
The problem of state dimension reduction and quantizer design under communication constraints is discussed for state estimation in quantized linear systems.
The resulting mean-squared quantization error is and this can be minimized by using a pdf-optimized quantizer design.
First, the quantizer design problem is formulated.
In the field of control engineering, many dynamic quantizer design methods have been proposed in terms of the filter design.
