Wavelet-based Non-zero order Joint Transform Corrlator for Target Recognition in Noisy Scenes

摘要：

A novel joint transform correlator for target recognition under noisy conditions is proposed. In this design, strong zero order term is eliminated by modifying joint transform power spectrum through wavelet transform. To obtain sharp correlation peak and noise resistance ability, logarithmic algorithm is applied and yields far better results compared with widely used modified fringe adjusted filter. Computer simulation results are presented to confirm the performance of the proposed technique in additive Gaussian noise environment.

关键词： pattern recognition joint transform correlator wavelet transform logarithmic algorithm

作者: Yu Zhao Xiaoying Sun

作者单位: Institute of Communication Engineering,Jilin University,Changchun,130012,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 4110-4113

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）