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ASIC implementation of high speed fast fourier transform based on Split-radix algorithm

机译:基于分割基数算法的高速快速傅里叶变换的ASIC实现

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Mathematical applications such as DFT and convolution are two main and common operations in signal processing applications. Many other Signal processing algorithms such as filter, spectrum estimation and OFDM can be transformed into DFT to implement in hardware. FFT is the collection of group of algorithms that performs the DFT at higher speed. FFT is indispensable in most signal processing applications, so the designing of an appropriate algorithm for the implementation of FFT can be most important in Most of the digital signal processing. The techniques such as pipelining and parallel calculations have potential impacts on VLSI implementation of FFT algorithm. By theoretical observations Split-radix algorithm is an appropriate algorithm for the implementation of FFT among all the effective algorithms of FFT, because it reduces number of arithmetic operations to great extent. At the requirement of high speed, an algorithm that is best for high speed implementation is to be found. This algorithm performs well in the implementation of FPGA and ASIC, satisfies the requirement of high speed.
机译:DFT和卷积之类的数学应用程序是信号处理应用程序中的两个主要且常见的操作。可以将许多其他信号处理算法(例如滤波器,频谱估计和OFDM)转换为DFT以在硬件中实现。 FFT是以较高速度执行DFT的一组算法的集合。 FFT在大多数信号处理应用中是必不可少的,因此在大多数数字信号处理中,设计适当的算法以实现FFT可能是最重要的。流水线化和并行计算等技术可能会对FFT算法的VLSI实现产生潜在影响。从理论上看,在所有有效的FFT算法中,分裂基数算法都是一种适合执行FFT的算法,因为它在很大程度上减少了算术运算的次数。在高速的要求下,将找到最适合高速实施的算法。该算法在FPGA和ASIC的实现中表现良好,满足了高速性的要求。

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