摘要
频谱对比是曲线对比的一种,但由于频谱分布幅值差别大的特性,用传统的图像对比或匹配算法,运算量大,且精度不高。文章在分析阈值法以及最大互相关算法优缺点的基础上,提出了基于关键点的字符串对比算法,该算法采用按关键频率点进行分段,然后符号化曲线继而进行关键频率点的字符对比,算法能适应电磁扫描过程中的频谱对比要求,提高对比的精确性。
Spectrum comparison is one type of curve comparison. Due to the great difference of spectral distribution amplitudes, traditional image comparison or matching algorithms have disadvantages such as large operation amount and low accuracy. Based on an analysis of the advantages and disadvantages of threshold method and maximum cross correlation algorithm, a string comparison algorithm based on key frequency points is proposed, which uses key frequency points for fragmentation, then symbolizes the curve, and compares the characters of key frequency points. The comparison algorithm is adaptable to the spectrum comparison requirement during electromagnetic scan, and improves the accuracy of comparison.
出处
《计算机与网络》
2012年第14期58-60,共3页
Computer & Network
关键词
频谱对比
关键频率点
字符串对比
相似度
spectrum comparison
key frequency point
string comparison
similarity
