摘要
矩形波串法 (boxcar)用于过程数据压缩 ,算法简单 ,压缩和重建的实时性好 ,获得广泛的应用。为了进一步提高该算法的性能 ,本文提出了一种改进的矩形波串法 ,用实际数据进行了离线仿真并分析了算法的性能 ,结果表明改进算法优于原算法。用NeuronC编写了改进算法的应用程序 ,并成功下载到自行设计的数据采集节点中 。
Boxcar method is used generally to compress process data with simple and good real time performance of compression and restoration. A modified boxcar method is presented to enhance its performance, and its algorithm is analyzed by offline simulation based on practical process data, which demonstrates that the modified algorithm is better than the original. The Neuron C program of the algorithm is written and downloaded into the self designed data acquisition node, online use of the modified algorithm is therefore implemented
出处
《计算机应用》
CSCD
北大核心
2001年第9期14-17,共4页
journal of Computer Applications
