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经济活动中 ,股票已成为投资热点。但是受各种因素的影响 ,股价指数经常波动 ,因此探索股价指数的波动特性已成为研究热点。本文用一种新的信号处理工具——小波变换 ,并结合分形理论 ,对上证指数和深证指数从 94年 1月 3日至 97年 1 2月 1 0日的原始数据进行小波变换分析 ,发
In economic activities, stocks have become investment hot spots. However, due to various factors, the stock price index fluctuates frequently. Therefore, it has become a research hotspot to explore the fluctuation characteristics of the stock price index. In this paper, a new signal processing tool - wavelet transform, combined with fractal theory, the original data of the Shanghai Stock Index and the Shenzhen Stock Index from January 3, 94 to January 12, 1997 wavelet analysis, hair