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

...Blurring (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.

...As biodiversity is closely related to human welfare and quality of life, many efforts to restore and maintain the biodiversity of species have been made by government agencies and non-governmental organizations, thereby drawing a substantial amount of international attention. In the fields of biological research, biodiversity is widely measured using traditional statistical 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. ...

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".

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.

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 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 of the desired noiseless signal. The discrete-time equivalent of Wiener's work was derived independently by Kolmogorov and published in 1941. Hence the theory is often called the Wiener-Kolmogorov filtering theory. ...

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, ...