Conventional velocity analysis applied to images produced by wave-equation migration with a crosscorrelation imaging condition uses moveout information from space lags or focusing information from time lag. However, more robust velocity-estimation methods can be designed to simultaneously take advantage of the semblance and focusing information provided by migrated images. Such a velocity estim...

Image gating is a problem related to image modalities which involve quasi-periodic moving organs, such as the heart. Therefore, during intravascular ultrasound (IVUS) examination, with automatic pullback, there is cardiac movement interference. This work aims to obtain gated images based on the images themselves, so it would be possible to reconstruct 3D coronaries with temporal accuracy. From ...

Whole-cell membrane capacitance measurements are frequently used to monitor neuronal and nonneuronal secretory activity. However, unless individual fusion events can be resolved, the type of the fusing vesicles cannot be identified in these experiments. Here we apply statistical analysis of trial-to-trial variations between depolarization-induced capacitance increases of mouse adrenal chromaffi...

Standard imaging techniques rely on the single scattering assumption. This requires that the recorded data do not include internal multiples, i.e. waves bouncing multiple times between layers before reaching the receivers at the acquisition surface. When multiple reflections are present in the data, standard imaging algorithms incorrectly image them as ghost reflectors. These artifacts can misl...

Previous authors have tried to image seismic reflectivity by crosscorrelating passive seismic data, and treating the resultant correlograms as active source seismograms. We provide a mathematical framework for working with passive seismic correlograms that is both appropriate for V (x , y, z) media, and arbitrary source location. Under this framework, correlograms can be migrated with an imagin...

We present a method to extract speaker turn segmentation from multiple distant microphones (MDM) using only delay values found via a crosscorrelation between the available channels. The method is robust against the number of speakers (which is unknown to the system), the number of channels, and the acoustics of the room. The delays between channels are processed and clustered to obtain a segmen...

As part of a project into speech recognition in meeting environments, we have collected a corpus of multi-channel meeting recordings. We expected the identification of speaker activity to be straightforward given that the participants had individual microphones, but simple approaches yielded unacceptably erroneous labelings, mainly due to crosstalk between nearby speakers and wide variations in...

Auditory width measurements based on the interaural crosscorrelation coefficient (IACC) are often used in the field of concert hall acoustics. However, there are a number of problems with such measurements, including large variations around the centre of a room and a limited range of values at low frequencies. This paper explores how some of these problems can be solved by applying the IACC in ...

In this paper, we present a new method for incorporating global shift invariance in support vector machines. Unlike other approaches which incorporate a feature extraction stage, we first scale the image and then classify it by using the modified support vector machines classifier. Shift invariance is achieved by replacing dot products between patterns used by the SVM classifier with the maximu...

This paper explores the narration of Pushkin’s novel (in translation into English by James E. Falen) by Stephen Fry and Rafael Corkhill. The aim was to analyse the actors’ oral performance in terms of prosodic invariants as compared to the Russian original recited by two professional actors. An attempt was made to measure the ‘authenticity’ of the translation by application of cluster analysis....