Principal component analysis in the frequency domain: a review and their application to climate data

Internal Traits of Eggs and Their Relationship to Shank Feathering in Chicken Using Principal Component Analysis

Chicken eggs represent an important source of protein to the growing human population and also supply repositories of unique genes that could be used worldwide. The inheritance of shank feathering trait is dominant upon non-feathering shank trait in chicken which is based on two factors: pti-1L and pti-1B that are located on Chromosomes 13, 15, and 24. Using 185 fertile eggs collected from two ...

Application of Time-Frequency Principal Component Analysis to Speaker Verification

Frequency Domain Model Reduction Based on Principal Component Analysis

A new frequency response based model reduction technique is presented for use in the mid-frequency range. The reduction was designed to avoid the use of modal based correlation metrics, which are known to fail in systems with high modal density. A transformation matrix based on a set of complex shapes extracted from the frequency response is used to reduce the impedance matrix to the sensor loc...

Faults and fractures detection in 2D seismic data based on principal component analysis

Various approached have been introduced to extract as much as information form seismic image for any specific reservoir or geological study. Modeling of faults and fractures are among the most attracted objects for interpretation in geological study on seismic images that several strategies have been presented for this specific purpose. In this study, we have presented a modified approach of ap...

Nonlinear Principal Component Analysis of Climate Data by

In traditional principal component analysis (PCA) a few significant linear combinations of the original variables are extracted to arrive at a parsimonious description of a complex. data set obtained from climate observations, analysis or from GCM ouputs. These are uncorrelated variables which are used in practice to understand the principal modes of variation in the climatological process unde...