重点分析了傅氏算法及其改进算法。
The Fourier algorithm and its improved algorithm are emphasized.
其次，分析了由于频率偏移影响傅氏算法精度并提出其改进措施。
Second, this thesis analyses algorithm precision in case of frequency fluctuation and presents improving measures.
并采用滤除衰减直流分量的傅氏算法，提高了数据精度、简化了硬件电路。
The decaying DC component is filtered in the Fourier algorithm, which improves data precision and simplifies hardware circuits.
采用递推傅氏算法测频，动态跟踪频率变化，实时调整采样率进行定点采样；
The recursive Fourier algorithm is used in frequency measuring to dynamically track the frequency change and real-timely adjust the sampling rate for fixed sampling points.
由于传统傅氏算法无法滤除衰减直流分量，从而导致计算结果出现误差。对如?。
With the simulation result, the paper compares and evaluates the filtering capability of these improved algorithms.
对近年来提出的几种改进傅氏算法进行分类研究，着重分析了其滤除衰减直流分量的方法。
This paper studies several sorts of improved Fourier algorithm in recent years, particularly analyzes the method of filtering decaying DC component.
全波傅氏算法是基于周期信号推导出来的，当采样信号中含有衰减直流分量时，将会产生误差。
The decaying DC component in the sampling signal will bring errors to the full-wave Fourier algorithm, which is derived with periodic signal.
由于傅氏算法原理上的局限，它不能完全滤除非周期分量，尤其对电流故障中常见的衰减直流分量的抑制能力很差。
Because of the limitation of theory, Fourier algorithm is unable to filtering the periodic component, and especially poor in restraining decaying DC component which is common in current malfunction.
主要就快速傅里叶变换算法、全波傅氏算法以及有功功率、无功功率的计算、滤波的参数选取、谐波的计算进行了讨论。
Mainly, FFT algorithm and full-wave Fourier algorithm are discussed. Calculation of active power and imaginary power is researched. Parameter selection of filtration and calculation of are attained.
它是一种用分段逼近函数近似代替连续函数，作连续傅氏变换的近似算法。
It is an approximate algorithm of continuous Fourier transform in which some approaching functions of segments are approximately used instead of continuous functions.
讨论了傅氏变换应用于纹理识别的机理，并基于此提出了一种图象分割算法。
In this paper we discuss the mechanism of using Fourier transform on texture identification and then suggest a texture image segmentation algorithm based on Fourier transform.
“原子”解码算法只通过一次傅氏变换即完成解码；而整数傅氏变换避免了傅氏变换中最耗时的浮点运算。
The "atomic" algorithm performs decoding process using Fourier transformation only once and the integral Fourier transformation works without floating operation.
“原子”解码算法只通过一次傅氏变换即完成解码；而整数傅氏变换避免了傅氏变换中最耗时的浮点运算。
The "atomic" algorithm performs decoding process using Fourier transformation only once and the integral Fourier transformation works without floating operation.
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