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首页> 外文期刊>IEEE Transactions on Signal Processing >Uncertainty Principle for Real Signals in the Linear Canonical Transform Domains
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Uncertainty Principle for Real Signals in the Linear Canonical Transform Domains

机译:线性规范变换域中实信号的不确定性原理

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摘要

The linear canonical transform (LCT) is a generalization of the fractional Fourier transform (FRFT) having applications in several areas of signal processing and optics. In this paper, we extend the uncertainty principle for real signals in the fractional Fourier domains to the linear canonical transform domains, giving us the tighter lower bound on the product of the spreads of the signal in two specific LCT domains than the existing lower bounds in the LCT domains. It is seen that this lower bound can be achieved by a Gaussian signal. The effect of time-shifting and scaling the signal on the uncertainty principle is also discussed. It is shown here that a signal bandlimited in one LCT domain can be bandlimited in some other LCT domains also. The exceptions to the uncertainty principle in the LCT domains arising out of this are also discussed.
机译:线性规范变换(LCT)是分数傅里叶变换(FRFT)的概括,在信号处理和光学的多个领域都有应用。在本文中,我们将分数傅里叶域中的实际信号的不确定性原理扩展到线性规范变换域,从而使我们在两个特定LCT域中的信号扩展乘积上的下限比现有的下限更严格。 LCT域。可以看出,该下限可以通过高斯信号来实现。还讨论了信号的时移和缩放对不确定性原理的影响。这里示出了在一个LCT域中被频带限制的信号也可以在一些其他LCT域中被频带限制。由此讨论了LCT域中不确定性原理的例外情况。

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