Normalised

Taxonomy NCO uses Normalised Co-Occurrence analysis to look for relationships between terms in a freetagging vocabulary. This allows us to infer semantic relationships between terms.These modules have been developed at School of Everything. Configurable Normalised Co-occurrence Analysis of... Platforms: PHP

A fast vectorized implementation of the ncc that handles color (3 channel) images as well as gray level.The algorithm for colored images is based on the ncc formulation for vector valued functions.Note: A bug that I found in the normxcorr2 was also fixed here. Platforms: Matlab

THIS FUNCTION PLOTS FFT OF THE SIGNAL INPUT TO THE FUNCTION ISuserfft(input, sampling frequency, waveform, psd) input -> Input waveform sampling frequency -> Sampling frequency waveform -> 'real' refers to real baseband signals plots only half the fft output -> 'complex' refers to complex... Platforms: Matlab

alculate the normalized partial energy sequence (NPES) for a given signal vector X.If a particular transform is capable of capturing the key features of a signal in few coefficients, the NPES will approach unity for relatively quickly.Ref: Percival and Walden, Wavelet Methods for Time Series... Platforms: Matlab

This function take the input of a data vector x, which is to be binned; it also takes in the amount bins one would like the data binned into. The output is two vectors, one containing the normalised frequency of each bin (Freq), the other, the midpoint of each bin (midpts). Platforms: Matlab

Multiscreen difraction PLmsd due to N+1 buildings replaced by equivalente N+1 absorving screen is quantized as 20log10(|Q(N+1,gc)|).Wb: distance between buildings;Ws: street width;ht: tx antenna heigth;hb: mean building height;N+1: Number of buildings before receiver;f: frequency (MHz);hr:... Platforms: Matlab

Gabor-function convolution masks are increasingly used in image processing and computer vision. This function simply computes the cosine and sine masks for a given width, period and orientation. The masks returned are properly normalised. It is not highly optimised - e.g. the symmetries are not... Platforms: Matlab

This function provides a Wilcoxon-type test for trend across a group of three or more independent random samples.Assumptions:- Data must be at least ordinal- Groups must be selected in a meaningful order i.e. orderedIf you do not choose to enter your own group scores then scores are allocated... Platforms: Matlab

Read digits and labels from raw MNIST data files File format as specified on http://yann.lecun.com/exdb/mnist/ Note: The 4 pixel padding around the digits will be removePixel values will be normalised to the [0...1] range Platforms: Matlab

This graphical tutorial is intended to help neuro-imaging researchers from non-mathematical backgrounds to understand the so-called "modulation" process in voxel-based morphometry. This preserves volume (locally and globally) in spatially normalised (warped) images by multiplying the original... Platforms: Matlab

DBIx::DBStag::Cookbook is a Perl module for building and querying databases from XML. SYNOPSIS stag-autoddl.pl stag-storenode.pl selectall_xml.pl This will give an outline of how to build a normalised relational database from XML source data, set up SQL templates, issue relational queries... Platforms: *nix

Atlantis Data Surf is our SQL visualization tool - it is a free animated graphing tool which allows you to easily visualize complex schemas - use it to "surf" through your data. At the heart of Data Surf is the "Surf Graph", automatically picking the most optimal layout, it allows one-click... Platforms: Windows

Key features of the application are as follows: -Simple navigation: via a floating window, that stays on top of other windows and contains button links to the various key modules of the application. Information between modules is hyperlinked, clicking or Double-Clicking a piece of information in... Platforms: Windows

Finding corresponding features in a pair of images is the basis of many optic flow, stereo vision and image registration algorithms. One straightforward approach to finding a match is to take a small patch of one image, compute its sliding cross-correlation with the other image, and find a peak.... Platforms: Matlab

This code snippet converts a 2D matrix to a 3D matrix where the values in the 3rd dimension correspond to pixel intensity in the red, green, and blue domains. This is the format used by many functions in the Image Processing Toolbox (which is not required for this function to run).The code works... Platforms: Matlab

GFIT2 Computes goodness of fit for regression model USAGE: [gf] = gfit2(t,y) [gf] = gfit2(t,y,gFitMeasure) [gf] = gfit2(t,y,gFitMeasure,options) INPUT: t: matrix or vector of target values for regression model y: matrix or vector of output from regression model. gFitMeasure: a string or cell... Platforms: Matlab

CUMmulative PRODucts across All Permutations of Distinct Column-IndicesThis function returns the cumulative sum over products of column elementswith all permutations of unique and distinct column-indices.The sum excludes automatically products containing elements with commoncolumn index values.... Platforms: Matlab