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Holography and optical computing: the ongoing entanglement

机译:全息和光学计算:正在进行的纠缠

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Holography records not a 3D image but an encrypted wavefront. To determine what object must have caused that wavefront, we must solve the inverse problem. Most of the time, inverse problems are singular, but in certain very simple cases they are not and an optical computer does that very well. In others, it is disastrous. So, optical computing has been part of holography from its beginning in 1947. It was not until 1962 with VanderLugt's work on Fourier optical pattern recognition that holography became part of optical computing. In this paper, I review both directions of that continuing intercourse between holography and optical computing. Neither requires the other, and both are sometimes best without the other. But there remain a few cases where the fit seems ideal. The processing and recording and modification of spectral-temporal patterns is the test case I will use to illustrate their constructive relationships, here are some examples. Spectral recognition is best done in the optical domain by holography. Temporal pulse shaping is best done in the optical domain by holography. Temporal pulses are best recorded by holography.
机译:全息术记录不是3D图像,而是一种加密的波前。要确定哪些对象必须导致波前,我们必须解决逆问题。大多数情况下,逆问题都是单数,但在某些非常简单的情况下,它们不是,光学计算机很好。在其他人,这是灾难性的。因此,光学计算是从1947年开始的全息术的一部分。直到1962年,vanderlugt对傅立叶光学模式识别的工作,即全息术成为光学计算的一部分。在本文中,我审查了全息和光学计算之间继续性交的两个方向。两者都没有需要另一个,而且两者都是最好的没有另一个。但仍有一些案例似乎是理想的。频谱 - 时间模式的处理和记录和修改是我将用于说明其建设性关系的测试用例,这里是一些示例。光谱识别最好通过全息术在光学域中完成。通过全息术在光学域中最好地完成时间脉冲整形。时间脉冲最好通过全息术记录。

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