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Linear Convolution Using Skew-Cyclic Convolutions

机译:使用斜循环卷积的线性卷积

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摘要

It is shown that the linear convolution required in block filtering can be decomposed into a sum of skew-cyclic convolutions. Such convolutions can be realized efficiently with half-length complex transforms when the signals are real. This method results in computational savings over the traditional overlap-add and overlap-save algorithms. It is also more economical than fast parallel finite impulse response (FIR) filter structures for longer filter lengths
机译:结果表明,块滤波所需的线性卷积可以分解为歪斜循环卷积之和。当信号为实数时,可以使用半长复数变换有效地实现这种卷积。与传统的重叠添加和重叠保存算法相比,该方法节省了计算量。对于更长的滤波器长度,它比快速并行有限脉冲响应(FIR)滤波器结构更经济。

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