Data compression is essential to current low-earth-orbit spectral sensors with global coverage, e.g. meteorological sensors. Such sensors routinely produce in excess of 30 Gb of data per orbit ( over 4 Mb/s for about 110 min. ) while typically limited to less than 10 Gb of downlink capacity per orbit ( 15 minutes at 10 Mb/s ). Astro-Space Division develops spaceborne compression systems for com...

Using a detailed multilevel analysis of the complete hp-Multigrid as Smoother algorithm accurate predictions are obtained of the spectral radius and operator norms of the multigrid error transformation operator. This multilevel analysis is used to optimize the coefficients in the semi-implicit Runge-Kutta smoother, such that the spectral radius of the multigrid error transformation operator is ...

Agglomerative hierarchical cluster analysis was used to group similar spectra from a large database of samples. Based on angles between reflectance vectors of members of a cluster, a reflectance vector was selected as representative of that cluster. Representative samples were grouped together and stored as new calibration targets. Simulated wide-band imaging with glass filters was performed us...

In this paper we present a set of spectral domain audio transformation technologies and some existing and proposed applications of these technologies in video games. The technologies include real-time voice transformation and tempo/pitch transformation for music. Voice Transformation is mainly used to create new character's voices modifying existing recorded material but also for transforming t...

A high-order spectral difference (SD) method has been further extended to solve the three dimensional compressible Navier–Stokes (N–S) equations on deformable dynamic meshes. In the SD method, the solution is approximated with piece-wise continuous polynomials. The elements are coupled with common Riemann fluxes at element interfaces. The extension to deformable elements necessitates a time-dep...

Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction offers one approach to Hyperspectral Image (HSI) analysis. Currently, there are two methods to reduce the dimension, band selection and feature extraction. In this paper, we present a band selection method based on Indepe...

This paper proposes a new voice conversion algorithm that modifies the source speaker’s speech to sound as if produced by a target speaker. To date, most approaches for speaker transformation are based on mapping functions or codebooks. We propose a linear filtering based approach to the problem of mapping the spectral parameters of one speaker to those of the other. In the proposed method, the...

Aim of study: The ambrosia beetle, Platypus quercivorus, is a vector of Japanese oak wilt, which causes massive mortality of oak trees in Japan. ALOS/AVNIR-2 true color images can be used to help detect areas of oak wilt, although such detection by inventory surveys is not realistic. Applying pan-sharpening techniques, a higher spatial resolution multispectral image can be generated from lower-...

Voice transformation is the process of transforming the characteristics of speech uttered by a source speaker, such that a listener would believe the speech was uttered by a target speaker. In this paper we address the problem of transforming voice quality. We do not attempt to transform prosody. Our system has two main parts corresponding to the two components of the source-filter model of spe...

This paper presents a voice transformation algorithm which modifies the speech of a source speaker such that it is perceived as if spoken by a target speaker. A novel method which is based on dynamic programming approach is proposed. The designed system obtains speaker-specific codebooks of line spectral frequencies (LSFs) for both source and target speakers. Those codebooks are used to train a...