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A Highly Accurate Current Mode Analog Implementation of Radix-2 FFT/IFFT Processor

机译:基数-2 FFT / IFFT处理器的高度精确的电流模式模拟实现

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The discrete Fourier transform is a very powerful tool of digital signal processing used for spectral domain analysis of signals. The radix-2 fast Fourier transform (FFT) is the most popular algorithm for calculation of DFT for its simplicity. Applications where DFT and IDFT operations both are needed should include a single computational block which can calculate both DFT an IDFT as per the need. Analog implementation of DFT has low power consumption and takes less area on silicon. The proposed technique discusses the analog hardware implementation of eight point FFT/IFFT using radix-2 algorithm. This approach saves a lot of area and memory requirements. The FFT hardware is designed using cascode current mirror for higher accuracy. Mode selection between FFT/IFFT is done with switch arrangement. The circuit is tested rigorously with real and complex inputs using SPICE simulation with BSIM4 65nm CMOS process.
机译:离散傅里叶变换是用于信号光谱域分析的数字信号处理的一个非常强大的数字信号处理工具。基数-2快速傅立叶变换(FFT)是最流行的DFT计算算法,以实现其简单性。所需DFT和IDFT操作的应用应包括单个计算块,其可以根据需要计算DFT一个IDFT。 DFT的模拟实施具有低功耗,并且在硅上取得更少的区域。所提出的技术讨论了使用基数-2算法的八点FFT / IFFT的模拟硬件实现。这种方法可以节省大量区域和内存要求。 FFT硬件采用Cascode电流镜设计,以获得更高的精度。使用切换装置完成FFT / IFFT之间的模式选择。使用BSIM4 65nm CMOS工艺进行真正的和复杂输入,严格地测试电路。

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