tthe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. this paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. as a novelty, the proposed controller employs a simple gaussian radial-basis-function network as an uncertainty estimator. the proposed netw...

Sea surface temperature (SST) data derived from satellite and in situ measurements are used to study the thermal variability in the South China Sea (SCS). Time–frequency–energy distributions, periods of variability, and trends are computed by the Hilbert–Huang transform method. The SST trend from 1982 to 2005 is 0.276 C per decade in the SCS which is higher than 0.144 C per decade in the wester...

This paper presents a time-time transform (TT-transform) variant for classification of non-stationary power signal disturbance patterns. The TT-transform variant is derived from the well known S-transform and employs a new window function whose width is inversely proportional to the frequency raised to a constant power with values within 0 and 1. Features are derived from the TT-transform resul...

In this paper a novel algorithm for Gaussian noise estimation and removal is proposed by using 3x3 sub windows in which the test pixel appears. The standard deviation(STD) for all sub-windows are used to define reference STD(σref )and minimum(σmin) and maximum (σmax ) standard deviations. The average STD (σavg ) is then calculated as the average of those STDs of all sub-windows whose STD falls ...

In this paper, we propose a generation of feature image for face recognition. Feature image is generated using Discrete Cosine Transform (DCT), which tries to best classify different face images by maximizing the individual difference between face images. Low, Mid, and High frequency components of DCT are used to hold different information of face by providing a local description of different f...

Gabor’s signal expansion and the Gabor transform are formulated on a non-orthogonal time-frequency lattice instead of on the traditional rectangular lattice. The reason for doing so is that a non-orthogonal sampling geometry might be better adapted to the form of the window functions (in the time-frequency domain) than an orthogonal one: the set of shifted and modulated versions of the usual Ga...

This paper discusses the assumption of Gaussian noise in the blood-oxygenation-dependent (BOLD) contrast for functional MRI (fMRI). In principle, magnitudes in MRI images follow a Rice distribution. We start by reviewing differences between Rician and Gaussian noise. An analytic expression is derived for the null (resting-state) distribution of the difference between two Rician distributed imag...

The Z-score of a protein is defined as the energy separation between the native fold and the average of an ensemble of misfolds in the units of the standard deviation of the ensemble. The Z-score is often used as a way of testing the knowledge-based potentials for their ability to recognize the native fold from other alternatives. However, it is not known what range of values the Z-scores shoul...

This document presents the algorithm submitted to the ”Structural segmentation” task at MIREX 2010. It consists in three parts. First, feature extraction (beat, MFCC, Chroma) from the song is achieved using existing scripts. Second, a segmentation is done according to three criteria for localizing statistical breakpoints, repeated feature sequences, and short events, using a filtered version of...

The National Oceanic and Atmospheric Administration (NOAA) currently uses Nonlinear Sea Surface Temperature (NLSST) algorithms to estimate sea surface temperature (SST) from NOAA satellite Advanced Very High Resolution Radiometer (AVHRR) data. In this study, we created a three-month dataset of global sea surface temperature derived from NOAA-15 AVHRR data paired with coincident SST measurements...