%0 Journal Article
%T Compression of SAR Raw Data with Normalized Adaptive Predictive Vector Quantization<br>归一化自适应预测矢量量化算法压缩SAR原始数据
%A Guan Zhen-hong
%A Zhu Dai-yin
%A Zhu Zhao-da
%A <br>关振红
%A 朱岱寅
%A 朱兆达
%J 电子与信息学报
%D 2006
%I 
%X This paper presents a new SAR raw data compression algorithm named Normalized Adaptive Predictive Vector Quantization (NAPVQ). The normalized SAR raw data are firstly processed with vector linear predictor, and then the error vectors are compressed with vector quantizer. Regarded as an extension of the differential pulse code modulation in the vector quantization, the NAPVQ achieves a better performance gain than the Block Adaptive Vector Quantization (BAVQ) and the Normalized Predictive Adaptive Quantization (NPAQ). With the analyses of algorithm complexity, the proposed algorithm shows a good performance/complexity trade-off and accommodates the requirement in engineering applications.
%K Synthetic Aperture Radar (SAR)
%K Data compression
%K Differential pulse code modulation
%K Vector quantization
%K Predictive vector quantization<br>合成孔径雷达
%K 数据压缩
%K 差分脉冲调制
%K 矢量量化
%K 预测矢量量化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=DB9F8BF6F363D184&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=B7B25E832E7F23D8&eid=B99A53AADE50D922&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=12