This paper presents a novel method of spectral envelope estimation and representation. Despite much sophisticated work in this area, estimating an appropriate envelope is still difficult. We therefore propose an F0-adaptive multi-frame integration analysis method for estimating spectral envelopes with appropriate shape and high temporal resolution. The method does not use pitch marks or phoneme...

A method is provided for scalar systems which uses FFTs and provides spectral factorization directly from the periodogram. The method is block recursive, providing better estimates as time progresses with more data available. Although spectral factorization is a mature technique, the current methods available are generally to slow to cope with acoustic problems of the scale discussed here

Present study took into account the relationship between surface soil moisture of intertidal zone and its spectral reflectance and the relationship between surface soil moisture and the relative elevation of intertidal zone to extract ‘ridges’. It can represent the main morphological character of radial sand ridges, and find specific spectral bands to diagnose much ‘drier’ points of sand ridges...

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...

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...

Rotating machines can generate signals composed of sinusoids equispaced in frequency. The spectrum of such signals is useful in detecting faults. Traditional Fourier–based spectrum estimation methods are often not sufficient due to the nonstationarity of measured signals. We propose maximum likelihood method for estimating the constant spacing of frequencies, when the number of samples is to be...