CAJ | 학술논문

针对一代小波变换阈值压缩算法实现复杂、实时性差且存在浮点系数等问题，提出了一种基于整数小波变换的机车轮对超声检测数据阈值压缩算法，从阈值函数和非零系数位置标记两个方面对传统阈值压缩方式进行了优化，并与传统阈值压缩方式和基于一代小波变换的阈值压缩算法的压缩效果进行了对比。结果表明：该算法在超声检测数据的压缩中能够获得更高的压缩倍数和重构精度，具有良好的应用前景。
침대일대소파변환역치압축산법실현복잡、실시성차차존재부점계수등문제，제출료일충기우정수소파변환적궤차륜대초성검측수거역치압축산법，종역치함수화비령계수위치표기량개방면대전통역치압축방식진행료우화，병여전통역치압축방식화기우일대소파변환적역치압축산법적압축효과진행료대비。결과표명：해산법재초성검측수거적압축중능구획득경고적압축배수화중구정도，구유량호적응용전경。
There are some shortcomings for the threshold compression algorithm based on traditional wavelet transform,such as complex,poor real-time,floating-point coefficients and so on.As such,this article proposes a threshold compression algorithm based on IWT that applies in the data compression of train wheels of ultrasonic flaw detection.The algorithm optimizes threshold function and the marking method of position of non-zero coefficients.By contrast with the compression effect of traditional threshold compression and algorithm based on traditional wavelet transform,it shows that the algorithm the article proposes can get higher compression ratio and reconstruction accuracy,which has good application prospects.