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Analytic approximation to the largest eigenvalue distribution of a white Wishart matrix

Author: Vlok, JD ; Olivier, JC Date: 14 Aug 2012 Eigenvalue distributions of Wishart matrices are given in the literature as functions or distributions defined in terms of matrix arguments requiring numerical evaluation. As a result the relationship between parameter values and statistics ... Read more
Creating a high resolution social vulnerability map in support of national decision makers in South Africa

Author: Le Roux, Alize ; Khuluse, S ; Naude, AJS Date: Aug 2015 The core objective of this study was to create a social vulnerability map based on generally accepted variables that are indicative of drivers of social vulnerability, capturing the unique attributes of South African communities. The paper ... Read more
Non-cooperative detection of weak spread-spectrum signals in AWGN

Author: Vlok, JD ; Olivier, JC Date: Nov 2012 A semi-blind method based on principal component analysis (PCA) and sequence synchronisation is proposed to detect direct sequence spread-spectrum (DSSS) signals in a noncooperative setting under low signal-to-noise ratio (SNR) conditions. ... Read more
Pantomimic gestures for human-robot interaction

Author: Burke, Michael G ; Lasenby, J Date: Oct 2015 This paper introduces a pantomimic gesture interface, which classifies human hand gestures using unmanned aerial vehicle (UAV) behavior recordings as training data. We argue that pantomimic gestures are more intuitive than iconic gestures and ... Read more
Remote sensing of species diversity using Landsat 8 spectral variables

Author: Madonsela, Sabelo ; Cho, Moses A ; Ramoelo, Abel ; Mutanga, O Date: Nov 2017 The application of remote sensing in biodiversity estimation has largely relied on the Normalized Difference Vegetation Index (NDVI). The NDVI exploits spectral information from red and near infrared bands of Landsat images and it does not ... Read more
Tracking image features with PCA-SURF descriptors

Author: Pancham, A ; Withey, Daniel J ; Bright, G Date: May 2015 The tracking of moving points in image sequences requires unique features that can be easily distinguished. However, traditional feature descriptors are of high dimension, leading to larger storage requirement and slower computation. In this ... Read more

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Browsing by Subject "PCA"

Browsing by Subject "PCA"

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