This paper proposed a pitch quantization method for low bit-rate speech coding systems.
本文提出了一种适用于低速率语音编码系统的基音周期量化算法。
It provides optimal dynamic bit allocation for sub-bands of DWT and realizes adaptive quantization for wavelet coefficients. At last, it provides exact rate control for the coder.
该方法基于率失真曲线的精确理论模型，对小波分解后的不同子带提供最优的动态比特分配从而实现了小波系数的自适应量化编码，最后还实现了码率控制。
Generally, the rate distortion model is employed to compute quantization parameter for the controlling bit rate.
通常码率控制算法使用一定的率失真模型来决策量化参数从而控制码率。
This transform algorithm saves the operation time due to without quantization. It can get the same compressed result and even better performance in the case of low bit rate compared with DCT.
通过与传统的离散余弦变换（DCT）进行比较，表明了APIDCBT算法可以不用量化表，节省运算时间，与DCT可达到同样的压缩效果，并且在低码率情况下优于DCT。
This transform algorithm saves the operation time due to without quantization. It can get the same compressed result and even better performance in the case of low bit rate compared with DCT.
通过与传统的离散余弦变换（DCT）进行比较，表明了APIDCBT算法可以不用量化表，节省运算时间，与DCT可达到同样的压缩效果，并且在低码率情况下优于DCT。
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