Method of smoothing photoluminescence spectra
نویسندگان
چکیده
منابع مشابه
Wavelet smoothing of evolutionary spectra by non–linear thresholding
We consider wavelet estimation of the time–dependent (evolutionary) power spectrum of a locally stationary time series. Hereby, wavelets are used to provide an adaptive local smoothing of a short–time periodogram in the time–frequency plane. For this, in contrast to classical nonparametric (linear) approaches we use non–linear thresholding of the empirical wavelet coefficients. We show how thes...
متن کاملAutomatic Estimation of Multivariate Spectra via Smoothing Splines
The classical method for estimating the spectral density of a multivariate time series is to first calculate the periodogram, and then smooth it to obtain a consistent estimator. Typically, to ensure the estimate is positive definite, all the elements of the periodogram are smoothed the same way. There are, however, many situations for which different components of the spectral matrix have diff...
متن کاملPhotoluminescence study of terbium-exchanged ultrastable Y zeolites: Number of species, photoluminescence decays, and decay-associated spectra
Number of species, photoluminescence decays, and decay-associated spectra Carmen Tiseanu, V. A. Lórenz-Fonfría, V. I. Parvulescu, A. Gessner, and M. U. Kumke National Institute for Laser, Plasma and Radiation Physics, P.O. Box MG-36, RO 76900, BucharestMagurele, Romania Department of Materials Science and Engineering, Nagoya Institute of Technology, Showa-ku, 466-855 Nagoya, Japan Department of...
متن کاملNovel approaches to smoothing and comparing SELDI TOF spectra
BACKGROUND Most published literature using SELDI-TOF has used traditional techniques in Spectral Analysis such as Fourier transforms and wavelets for denoising. Most of these publications also compare spectra using their most prominent feature, i.e, peaks or local maximums. METHODS The maximum intensity value within each window of differentiable m/z values was used to represent the intensity ...
متن کاملSmoothing-Evaluation Method in Delayed Reinforcement Learning
Another method of delayed reinforcement learning is proposed. There are two neural networks in a robot's brain, those are a evaluation network and a motion network. The evaluation network is trained so as to reduce the absolute value of the second order time derivative of the output of itself while the robot moves. The learning realize the evaluation by the necessary time until a robot gets a t...
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: Journal of Physics and Electronics
سال: 2018
ISSN: 2616-8685
DOI: 10.15421/331828