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

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。

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

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。

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This paper presents a new SAR raw data compression algorithm named Normalized Adaptive Predictive Vector Quantization (NAPVQ).

该文提出归一化自适应预测矢量量化(NAPVQ)算法压缩sar原始数据。

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