时频分布的计算复杂度

M. Vishwanath, R. Owens, M. Irwin
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引用次数: 7

摘要

导出了通信复杂度和乘法复杂度的一些下界。离散短时间傅里叶变换、离散Wigner-Ville分布、离散模糊函数和离散Gabor变换的(Area)*(Time)/sup 2/ (AT/sup 2/)边界显示为AT/sup 2/= Omega (N/sup 3/ log/sup 2/ N),其中N/sup 2/为输出点的个数。乘法复杂度的下界为(N/sup 2/)对于N点离散小波变换,AT/sup 2/的下界= Omega (N/sup 2/ log/sup 2/ N)和乘法复杂度Omega (N)与DFT的下界相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The computational complexity of time-frequency distributions
A number of lower bounds on the communication and multiplicative complexity are derived. The (Area)*(Time)/sup 2/ (AT/sup 2/) bound for the discrete short time Fourier transform, the discrete Wigner-Ville distribution, the discrete ambiguity function and the discrete Gabor transform is shown to be AT/sup 2/= Omega (N/sup 3/ log/sup 2/ N), where N/sup 2/ is the number of output points. The lower bound on multiplicative complexity for these is shown to be Omega (N/sup 2/). For the N-point discrete wavelet transform a lower bound of AT/sup 2/= Omega (N/sup 2/ log/sup 2/ N) and a multiplicative complexity of Omega (N) are the same as the lower bounds for the DFT.<>
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