用于连续波形点和PMU数据流的自适应子带压缩
Adaptive Subband Compression for Streaming of Continuous Point-on-Wave and PMU Data
AI总结：
提出自适应子带压缩（ASBC）系统，通过划分信号空间并基于有效带宽自适应压缩，实现高分辨率CPOW和PMU数据的实时流传输，在大幅降低采样率的同时保持行业标准精度。
摘要：
提出了一种能够提供高分辨率连续波形点（CPOW）和相量测量单元（PMU）测量数据实时流的数据压缩系统。该技术被称为自适应子带压缩（ASBC），它将信号空间划分为多个子带，并根据每个子带的有效带宽自适应地压缩子带信号。该技术符合现有的行业相量测量标准，使其适用于以连续或突发按需/事件触发模式流式传输高分辨率CPOW和PMU数据。在合成和真实数据上的实验表明，ASBC将CPOW采样率降低了几个数量级以进行实时流传输，同时保持了行业标准所需的精度。
英文摘要：
A data compression system capable of providing real-time streaming of high-resolution continuous point-on-wave (CPOW) and phasor measurement unit (PMU) measurements is proposed. Referred to as adaptive subband compression (ASBC), the proposed technique partitions the signal space into subbands and adaptively compresses subband signals based on each subband's active bandwidth. The proposed technique conforms to existing industry phasor measurement standards, making it suitable for streaming high-resolution CPOW and PMU data either in continuous or burst on-demand/event-triggered modes. Experiments on synthetic and real data show that ASBC reduces the CPOW sampling rates by several orders of magnitude for real-time streaming while maintaining the precision required by industry standards.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
