算术傅立叶变换中非均匀采样点信号值的一种分段估计法

提出了一种用于估计算术傅立叶变换（ＡＦＴ）中非均匀采样点处信号值的方法。这种方法在不影响原算法高速性及适于ＶＬＳＩ实现这一特性的基础上，改善了ＡＦＴ算法在零阶插值时的误差。基本原理是在两均匀采样点之间根据某种原则进行分段，每个分段区间赋予一个只需简单计算的值。仿真表明：在较少分段时，分段ＡＦＴ即可逼近一阶插值ＡＦＴ的误差，同时其误差效果也好于迭代实现的自适应ＡＦＴ方法。

Space-Dividing Method to Estimate Signal Values at Non-equidistant Sampling Points

A segmentation method to estimate signal values at non equidistant sampling points was presented. Its aim is the error improvement in the 0 order arithmetic Fourier transform algorithm with a small increase on computations that even can be negligible. The simulations show that the errors in these estimation methods are very close to the errors in the 1 order interpolation estimation method that has much multiplication.