Large-Temporal-Numerical-Aperture Parametric Spectro-Temporal Analyzer Based on Silicon Waveguide
نویسندگان
چکیده
منابع مشابه
Performance of parametric spectro-temporal analyzer (PASTA).
Parametric spectro-temporal analyzer (PASTA) is an entirely new wavelength resolving modality that focuses the spectral information on the temporal axis, enables ultrafast frame rate, and provides comparable resolution and sensitivity to the state-of-art optical spectrum analyzer (OSA). Generally, spectroscopy relies on the allocation of the spectrum onto the spatial or temporal domain, and the...
متن کاملParametric spectro-temporal analyzer (PASTA) for ultrafast optical performance monitoring
Ultrafast optical spectrum monitoring is one of the most challenging tasks in observing ultrafast phenomena, such as the spectroscopy, dynamic observation of the laser cavity, and spectral encoded imaging systems. However, conventional method such as optical spectrum analyzer (OSA) spatially disperses the spectrum, but the space-to-time mapping is realized by mechanical rotation of a grating, s...
متن کاملParametric spectro-temporal analyzer (PASTA) for real-time optical spectrum observation
Real-time optical spectrum analysis is an essential tool in observing ultrafast phenomena, such as the dynamic monitoring of spectrum evolution. However, conventional method such as optical spectrum analyzers disperse the spectrum in space and allocate it in time sequence by mechanical rotation of a grating, so are incapable of operating at high speed. A more recent method all-optically stretch...
متن کاملCORRIGENDUM: Parametric spectro-temporal analyzer (PASTA) for real-time optical spectrum observation
The authors neglected to cite some of the previous studies related to Fourier Transformation in the Introduction section of this Article. These additional references are listed below as references 1–4, and should appear in the text as below. ‘‘This concept was first introduced by Azana et al. for real-time Fourier transformation, where group-velocity dispersion (GVD) directly stretched spectra ...
متن کاملPhoneme Classification Using Temporal Tracking of Speech Clusters in Spectro-temporal Domain
This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Photonics Journal
سال: 2019
ISSN: 1943-0655,1943-0647
DOI: 10.1109/jphot.2019.2934767