- data encoding scheme
- data-encoding scheme
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数据编码方法的英文
例句与用法
- Neural network , which is used widely in many research fields , can do self - adapting and self - learning , so they become a preferable approach for data coding
而在许多领域应用广泛的人工神经网络具有自适应和自学习的特点，成为数据编码方法的一个理想选择。 - The experiments show that this algorithm surpasses those traditional coding method in compressing rate and it is competitive in speed and time with those traditional coding method
实验表明，这种算法在压缩率上优于传统的算法，在编码和解码速度上接近于传统的数据编码方法。 - This is to help reduce network traffic by allowing implementations to use more efficient data encoding , such as a binary protocol between the device and the wireless gateway , as long as such encoding is transparent to both the web service consumer and the producer
这样做是通过允许执行程序使用更有效的数据编码方法来帮助减少网络传输，例如在设备和无线网关间使用二进制协议（只要这样编码对消费者和生产者是透明的） 。 - Traditional coding algorithms are based on simple n - gram models . those distant constraints and some redundancies in natural language , such as word order redundancies , semantic redundancies and syntactic redundancies , are neglected in the n - gram models . in order to find and reduce those redundancies , we need more intelligent algorithms based on more effective models
通用无损数据编码是数据压缩领域的一个重要的分支，现有的无损数据编码方法大多是基于n - gram模型的， n - gram模型忽略了自然语言中的远距离约束和诸如词序冗余、语义冗余、句法冗余等冗余，为了找出并减少这些冗余，需要更有效的语言模型和更智能的算法。