Publication

Broadband Uniform Wavelength Conversion and Time Compression of WDM Channels

Camille Sophie Brès, Mohammad Amin Shoaie
2015
Conference Papers

Abstract

A scheme based on 2-pump OPA is proposed for uniform wavelength conversion and optimized compression. We show 4.7-fold compression over 32 nm range resulting in Gaussian pulses from sinusoidal modulation and enabling simultaneous compression of WDM channels for granularity adaptation.

Official source

https://infoscience.epfl.ch/entities/publication/129214f8-2942-4e40-a752-317aa224d8cf

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Camille Sophie Brès, Mohammad Amin Shoaie
2015
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/129214f8-2942-4e40-a752-317aa224d8cf

About this result

Related concepts (19)

Lossless compression

Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. By contrast, lossy compression permits reconstruction only of an approximation of the original data, though usually with greatly improved compression rates (and therefore reduced media sizes).

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In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information.

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