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We present an automated placement algorithm for a high-bandwidth, streaming fast Fourier transform (FFT) generated using an open-source core generator. For radio spectral line analysis, we generate a 2048-point FFT for a standard commercial FPGA high-bandwidth spectrometer, which can process 16 digital samples per cycle simultaneously (streaming). Our placement algorithm enables this system to operate...
This paper presents a program, the implementation of 1024-Point FFT algorithm based on FPGA. Considering from the operation speed and implementation complexity, this design adopts the algorithm of radix-2 and decimation in time. And cure the data of twiddle factor in the ROM block. This design uses the finite state machine control reading the data of twiddle factor, as well as coordinate each modules...
Fast Fourier transform (FFT) is an essential component in many digital signal processing and communications systems. The performance of the FFT component is a key factor in evaluating the overall system performance, and it is common to use it as a benchmark for the whole system. Many attempts have been made to enhance the FFT performance, both on algorithm and implementation levels. Software and hardware...
FFT algorithm is the popular software design for spectrum analyzer, but doesnpsilat work well for parallel hardware system due to complex calculation and huge memory requirement. Observing the key components of a spectrum analyzer are the intensities for respective frequencies, we propose a Goertzel algorithm to directly extract the intensity factors for respective frequency components in the input...
Discrete Fourier transform is recognized as one of the basic digital signal processing operations. One of the most efficient methods of performing this transformation is fast Fourier transform (FFT). It has been showed that no algorithm for computing the DFT could have a smaller complexity than the FFT. Thus most FPGA implementations are based on this approach. With the introduction of specialized...
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