This paper presents an algorithm that enables estimation of the speed of a single induction motor in an aggregate current signal supplying several motors from a common utility feed. This algorithm maintains accuracy of speed estimation while using shorter lengths of data, and can distinguish the activation of individual motors in the aggregate signal. The ability to separate and track distinct ...

Spiine, periodic spline and spherical harmonic maximum reach estimation procedures are compared and evaluated based on ease of usage, estimation error and bias. The comparison indicates that each method provides comparable estimates based on percent variance accounted for (Rz) and standard error. Spherical harmonics, however, are less biased and provide accurate estimates of the maximum reach s...

In this study, the acoustic properties of shouted speech are analyzed in relation to normal speech, and various synthesis techniques for shouting are investigated. The analysis shows large differences between the two styles, which induces difficulties in synthesis. Analysis-synthesis experiments show that the use of spectral estimation methods that are not biased by the sparse harmonics of shou...

We propose a number of variational regularisation methods for the estimation and decomposition of motion fields on the 2-sphere. While motion estimation is based on the optical flow equation, the presented decomposition models are motivated by recent trends in image analysis. In particular we treat u + v decomposition as well as hierarchical decomposition. Helmholtz decomposition of motion fiel...

This paper deals with the classification and parameter estimation of frequency-shift-keying (FSK) signals that are acquired using a compressive sampling approach. Such a technique allows reducing the sampling frequency needs, as the FSK signals are compressible in the frequency domain; the spectrum of FSK signal is sparse, being concentrated to a finite number of harmonics which depend on the m...

A statistical analysis of differential Doppler estimation is presented that includes the particular features found in aeroacoustic signals from ground vehicles, namely a sum-of-harmonics signal that is randomly scattered by the atmosphere. We use a physics-based statistical model for the scattering to derive the Cramér-Rao bound (CRB) on differential Doppler estimation as a function of the atmo...

This study proposes a speech enhancement algorithm to improve speech intelligibility for hearing impaired listeners in adverse conditions. The proposed algorithm is based on a long term harmonic model, where the harmonics of target speech are more distinguished from noise spectrum interference. Our method consists of two stages: i) Prominent pitch estimation based on long term harmonic feature ...

Electroencephalography (EEG) is a non invasive imaging technique that measures the effect of the electric activity of active brain regions, called sources, through values of the electric potential furnished by a set of electrodes placed at the surface of the scalp. A fundamental problem there is the inverse problem of source localization which aims at locating the sources of the electric activi...