Quantization in Task-Driven Sensing and Distributed Processing
Quantization in Task-Driven Sensing and Distributed Processing
复制标题
任务驱动传感和分布式处理中的量化
DOI：
--
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
R. Gray
中科院分区：
文献类型：
--
作者：
R. Gray
量化是将连续量映射为离散量，这种操作比标量幅度值的模数转换的普遍示例更通用和灵活。通过适当选择失真测量和传输约束，量化可以包含信号处理，例如统计分类，估计和建模。在这里，我们调查几种方法，将这些任务纳入量化和可能的扩展到分布式信号处理
Quantization is the mapping of continuous quantities into discrete quantities, an operation far more general and flexible than the ubiquitous example of analog-to-digital conversion of scalar amplitude values. By appropriate choice of distortion measures and transmission constraints, quantization can incorporate signal processing such as statistical classification, estimation, and modeling. We here survey several approaches to incorporating such tasks into the quantization and possible extensions to distributed signal processing