Download Fiber-optic communication systems by Govind P. Agrawal PDF

By Govind P. Agrawal

ISBN-10: 0585308071

ISBN-13: 9780585308074

This publication presents a entire account of fiber-optic conversation structures. The 3rd version of this booklet is used around the globe as a textbook in lots of universities. This 4th version contains contemporary advances that experience happened, particularly new chapters. One bargains with the complex modulation codecs (such as DPSK, QPSK, and QAM) which are more and more getting used for making improvements to spectral potency of WDM lightwave structures. the second one chapter focuses on new strategies comparable to all-optical regeneration which are below improvement and certain for use in destiny verbal exchange structures. All different chapters are up to date, in addition.

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Extra resources for Fiber-optic communication systems

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4 Frequency domain filtering in an optical system. Inverse Transform Output Spectrum 28 Chapter 2 The transform of the point spread function gives the transfer function of the system. Next, the output spectrum is given by the input spectrum multiplied by the transfer function. Finally, the output image is found by taking the inverse transform of the output spectrum. The resulting image is identical to that given by the spatial convolution of the point spread function in the space domain. 4, the DC component of the input, transfer, and output frequency spectrums has been removed so that the higher frequency components can be viewed.

22 relates the displayed image spectrum to the spectrum of the pre-sampled function, the sample spacing, the sample phase, and the display MTF. 22 quantitatively describes the relationship between the various stages of the sampling process. This equation allows us to explore design tradeoffs in a sampled imager. BIBLIOGRAPHY Bracewell, R. , The Fourier Transform and Its Applications, McGraw-Hill, New York, NY, 1986. , Linear Systems, Fourier Transforms and Optics, Wiley: New York, NY, 1978. Goodman, J.

The response function is the Fourier transform of the image formed on the display by a point source in the scene. The procedure is identical to that used with non-sampled systems, but the result will be different because sampled systems are not shift-invariant. The function being sampled is h(x), the point spread function of the presampled image. 4: ∞ Rsp (ξ) = Pix (ξ)  H (ξ − nν )e − j 2 π ( ξ− nν ) d . 6) n =−∞ The replicas of H(ξ) which are centered at two or more times the sample frequency are normally filtered out by the display and eyeball MTF because of their high frequency content.

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