Reduced Complexity Optimal Convolution Based on the Discrete Hirschman Transform

The Discrete Hirschman Transform (DHT) is more computationally attractive than the Discrete Fourier Transform (DFT). Based on its derived linear convolution, we have confirmed that the DHT-based convolution filter shows its superiority in reducing computations conditionally, while compared with the...

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Veröffentlicht in:	IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2021-05, Vol.68 (5), p.2051-2059
Hauptverfasser:	Xue, Dingli, DeBrunner, Linda S., DeBrunner, Victor
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolution DFT DH-HEMTs Digital signal processing Digital signal processors Discrete Fourier transforms Discrete Hirschman Transform DSP FFT FIR filter Fourier transforms FPGA Hardware Hirschman Optimal Transform Microprocessors Parameters Reduction Signal processing algorithms Time-frequency analysis Transforms
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