CAJ | 학술논문

在传统的傅立叶变换算法中，选取的分析数据长度和频率分辨率有直接关系，而在实际工程应用中，如果选取的分析数据长度过短，则频率分辨率过低，而且可能导致计算的幅值小于真实值，产生较大的误差，如果选取分析数据长度较长，会提高分辨率，但会引发新的问题，在该段数据内，信号的频率不一定是稳定的，依然会导致计算结果误差过大。针对该问题，提出了一种改良的傅立叶算法，在不增加分析数据长度的同时，提高算法的分辨率和精度。
재전통적부립협변환산법중，선취적분석수거장도화빈솔분변솔유직접관계，이재실제공정응용중，여과선취적분석수거장도과단，칙빈솔분변솔과저，이차가능도치계산적폭치소우진실치，산생교대적오차，여과선취분석수거장도교장，회제고분변솔，단회인발신적문제，재해단수거내，신호적빈솔불일정시은정적，의연회도치계산결과오차과대。침대해문제，제출료일충개량적부립협산법，재불증가분석수거장도적동시，제고산법적분변솔화정도。
In the traditional Fourier transform algorithm, the frequency resolution has direct relation to the length of the select-ed analytical data, but in the practical engineering application, if the length of the selected analytical data is too short, its fre-quency resolution must be too low, moreover it may cause larger error because the calculating amplitude is smaller than the re-al value;but if the length of the selected analytical data is too long, its frequency resolution will be enhanced, and then it may cause the new problem that the frequency of this data may be instable and it may cause error to the calculating result as usual. A new method is put forward in this paper to such problems abovementioned, and the improved Fourier transform algorithm can improve the resolution and the precision without increasing the length of the selected analytical data.