Comprehensive non-dimensional normalization of gait data

Time-normalization Techniques for Gait Data

A method commonly used to “time-normalize” gait data (here referred to as linear length normalization [LLN]) is to linearly convert the trajectory’s time axis from the experimentally-recorded time units to an axis representing percentage of the gait cycle. However, other time-normalization techniques are also possible, such as dynamic time warping [DTW] and derivative dynamic time warping [DDTW...

cDNA Microarray Data Normalization

ArrayNorm: comprehensive normalization and analysis of microarray data

SUMMARY ArrayNorm is a user-friendly, versatile and platform-independent Java application for the visualization, normalization and analysis of two-color microarray data. A variety of normalization options were implemented to remove the systematic and random errors in the data, taking into account the experimental design and the particularities of every slide. In addition, ArrayNorm provides a m...

Comprehensive Colour Image Normalization

The same scene viewed under two diierent illuminants induces two diierent colour images. If the two illuminants are the same colour but are placed at diierent positions then corresponding rgb pixels are related by simple scale factors. In contrast if the lighting geometry is held xed but the colour of the light changes then it is the individual colour channels (e.g. all the red pixel values or ...

Normalization and analysis of high-dimensional genomics data