The achievable data rates of current fiber-optic\nwavelength-division-multiplexing (WDM) systems are limited by nonlinear\ninteractions between different subchannels. Recently, it was thus proposed to\nreplace the conventional Fourier transform in WDM systems with an appropriately\ndefined nonlinear Fourier transform (NFT). The computational complexity of NFTs\nis a topic of current research. In this paper, a fast inverse NFT algorithm for\nthe important special case of multi-solitonic signals is presented. The\nalgorithm requires only $\\mathcal{O}(D\\log^{2}D)$ floating point operations to\ncompute $D$ samples of a multi-soliton. To the best of our knowledge, this is\nthe first algorithm for this problem with $\\log^{2}$-linear complexity. The\npaper also includes a many samples analysis of the generated nonlinear Fourier\nspectra.\n
Discussion(0)
No comments yet. Be the first to comment.