All‐Optical Pulse Shaping in the Sub‐Picosecond Regime Based on Fiber Grating Devices

Fiber Bragg Grating-Based Optical Signal Processing: Review and Survey

“…The first and last transfer matrices characterize the interface between the unperturbed fiber core and the first/last layer of the grating. Finally, the grating's reflection and transmission spectral responses H R ( f ) and H T ( f ) are readily obtained from the elements of M FBG using the Equations ( 16) and (17). As previously stated, ML-TMM is a general algorithm useful for the characterization of any arbitrary grating profile, including a non-cosenoidal or even non-periodic refractive index perturbation.…”

“…The performance of the FBG-based optical signal processor has been typically evaluated by three parameters [17]: the energy efficiency, the cross-correlation coefficient, C C ; and the Time-Bandwidth Product (TBP). The energy efficiency is obtained as the outputto-input waveform energy ratio.…”

“…Hence, different types of optical filters and optical signal processing units (such as differentiators, integrators, pulse shapers, etc.) were implemented with bandwidths ranging from tens of GHz to THz [17]. Recently, the rapid growth of semiconductor technologies and silicon-based photonics integrated circuits (PICs) has speeded up the interest in translating the functionalities attained by FBGs to integrated platforms (i.e., the so-called waveguide Bragg gratings), aimed at the realization of entire functionalities on a chip [18][19][20].…”