在最大PSNR的情况下，针对I帧最优编码，提出了一种实用的mpeg_2自适应量化算法。

A practical and optimal MPEG-2 adaptive quantization algorithm is presented for the optimal encoding of I-frames in the sense of maximizing PSNR.

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首先阐述了CMAC神经网络的原理、结构和学习算法，提出了一种新的采用竞争学习原理的非等距自适应量化算法。

We first discuss the structure and principle of the CMAC neural network. Using competitive learning, we develop a new adaptive quantization algorithm.

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CELP算法中重要的模块有线性预测(LP)分析，自适应码本，随机码本，码本增益量化的等。

The CELP algorithm includes many important module such as LP (Linear Predictive) analysis, adaptive codebook, random codebook and gain quantization of code etc.

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