Search Results for "wiener"

The JAGS Wiener module is an extension for JAGS, which provides wiener process distribution functions, mainly the Wiener first passage time density. It allows to include stochastic nodes with the first hitting time distribution of a diffusion process. Ubuntu users can also checkout our PPA: https://launchpad.net/~cidlab/+archive/jwm

... (bilateral, threshold and chroma/luma). Unsharp Masking, Laplacian. Masked Undo. Curve Undo, LCE. CLAHE. SCNR. Wavelets decomposing and denoising. Lucy-Richardson and Wiener deconvolution. FFT contrasting/denoising. Uses Astrometry.net to platesolve images. Includes Bright Star Catalogue up to mag. 5 and Tycho 2 Catalogue up to mag. 12 allowing for Star B-V color data for color balancing plate solved images. Interfaces with ASCOM, G'MIC and Starnet++. Macros. EAA. Win>=7 and Linux+Wine>=7.

Wiener distribution functions for R.

... indices such as the Shannon-Wiener index, species richness, evenness, and relative dominance of species. We developed VBioindex, a user-friendly program, which is capable of measuring the Shannon-Wiener index, species richness, evenness, and relative dominance. VBioindex serves as an easy to use interface and visually represents the results in the form of a simple chart. Reference : D.S. Yu and S. H. Yoo, VBioindex: A Visual Tool to Estimate Biodiversity, Genomics Inform. 2015 Sep; 13(3): 90–92.

cvastroalign is a program that loads a video sequence, aligns and stacks the selected frames obtaining an image as result of this process..

Generates synthetic price time series using Wiener Process. This now moves to "https://github.com/akalingking".

Volterra-Wiener series Identification Toolbox. This tool lets the identification of nonlinear discrete causal systems that can be approximated with the Volterra-Wiener series. Please see NEW ADVANCE in Volterra series identification: https://sourceforge.net/projects/volterra20/?source=directory

The program performs one of the three non-blind deconvolution methods (Wiener, EM-MLE, ICTM) on a 3-D image. The deconvolution can run either on CPU or on one or multiple GPUs (up to 4 units supported). The program is running in a console. Help can be viewed by running the program without parameters.

The Kalman filter is an algorithm which operates recursively on streams of noisy input data to produce a statistically optimal estimate of the underlying system state (Original Paper). The filter is named for Rudolf (Rudy) E. Kálmán, one of the primary developers of its theory. More information is available at Wikipedia, the Kalmn Filter was derived to solve the Wiener filter problem. The Wiener filter problem is to reduce the amount of noise present in a signal by comparison with an estimation...

A plain C library of functions to compute ecological diversity - equitability - species richness. Includes: Shannon-Wiener, Simpson, Margalef, Berger-Parker, McIntosh, Brillouin, Q, Menhinick, Strong, Gini, RS, Atkinson, Theil, Kolm, ...