Testing of Analog-to-Digital Converters is classically composed of two successive and independent phases: the histogram-based test technique evaluating static specifications and the spectral analysis technique evaluating the dynamic performances. Consequently, the fundamental objective here is to investigate the feasibility of an alternative test flow involving exclusively spectral analysis to ...

Palatal stops and affricates are relatively rare in the world’s languages, compared to velar stops and postalveolar affricates. In some languages, palatal stops underwent a diachronic shift and merged with postalveolar affricates. This study undertakes a spectral analysis of palatal stops in two Romance varieties, i.e. the dialect of San Giovanni in Fiore (spoken in a small town of Calabria, so...

Using the block vec matrix, I give a necessary and sufficient condition for factorization of a matrix into the Kronecker product of two other matrices. As a consequence, I obtain an elementary algorithmic procedure to decide whether a matrix has a square root for the Kronecker product. Introduction My statistician colleague, J.E. Chacón, asked me how to decide if a real given matrix A has a squ...

This paper examines the task of searching photographs shared on the Flickr website (http://www.flickr.com/) to find images which contain objects matching user queries. If, for example, the user enters the search terms ‘cat’ and ‘dog’, we can quickly find potentially-relevant images using the textual tags associated with the images. Our aim is to rank those potentially-relevant images and return...

The minimum norm method for spatial spectrum estimation is derived from the linear prediction method in exactly the same way as the MUSIC method is derived from the minimum variance method. The derivation consists of replacing the correlation with its noise subspace component and setting all noise eigenvalues to unity. This makes it simpler to understand the methods and their properties. This r...

The problem of sinusoidal frequency estimation in heavy-tailed noise environment is addressed. A method based on the robust M -periodogram is proposed. Specifically, a suboptimal coarse frequency estimate provided by the robust M -periodogram is improved using the modified dichotomous search. Simulations that consider most common heavytailed noise models demonstrate that the proposed method out...

In this paper we propose the MVDR method, which is based upon the Minimum Variance Distortionless Response (MVDR) spectrum estimation method, for modeling voiced speech. Developed to overcome some of the shortcomings of Linear Prediction models, the MVDR method provides better models for medium and high pitch voiced speech. The MVDR model is an all-pole model whose spectrum is easily obtained f...

Remote sensing has been used for direct and indirect detection of hydrocarbons. Most studies so far focused on indirect detection in vegetated areas. We investigated in this research the possibility of detecting hydrocarbons in bare soil through spectral analysis of laboratory samples in the short wave