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Implementation of DFT Filter Banks Based on FPGA

机译:基于FPGA的DFT滤波器组的实现

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摘要

This paper main around the polyphase structure of filter bank to design. First introduce the theory and the basic structure of multi-sampling. Utilize these can improve the original structure of the filter bank, obtained the corresponding polyphase filter structure. This structure has greatly improved the speed of the filtering computing. Then use FIR filters to realize filtering part, and introduced using FIR filters direct structure to achieve filter's hardware realization. And also introduced using FPGA to achieve a time selected by the base structure of 2-FFT algorithm, on this basis, to achieve the the computing of IFFT. Then according to the relationship between synthesis bank and analysis bank in overall structure of approximate reconstruction filter banks, synthesis filter banks can be designed to achieve approximate reconstruction of the signal. Finally, system commissioning test and experimental results verify the correctness and feasibility of the program.
机译:本文主要围绕滤波器组的多相结构进行设计。首先介绍多重采样的理论和基本结构。利用这些可以改善滤波器组的原始结构,获得相应的多相滤波器结构。这种结构大大提高了滤波计算的速度。然后使用FIR滤波器实现滤波部分,并介绍了使用FIR滤波器的直接结构来实现滤波器的硬件实现。并在此基础上还介绍了使用FPGA实现2-FFT算法基本结构选择的时间,以实现IFFT的计算。然后,根据近似重构滤波器组总体结构中合成库与分析库之间的关系,可以设计合成滤波器组来实现信号的近似重构。最后,系统调试测试和实验结果验证了该程序的正确性和可行性。

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