The first pass analyzes the data so that the second pass can maximize compression. This feature is not used with streaming.
第一步是分析数据,便于第二步进行最小化压缩,这一功能不用于流媒体。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
The storage Optimization Feature provides data compression to help you reduce your data storage, backup, and recovery costs and administration, as well as providing improved performance.
Storage Optimization Feature提供数据压缩以便帮助您减少您的数据存储和备份和恢复的成本和管理,同时提供改进的性能。
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