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...

Previously, it has been shown that using clear speech short-term spectra improves the intelligibility of conversational speech. In this paper, a speech transformation method is used to map the spectral features of conversational speech to resemble clear speech. A joint-density Gaussian mixture model is used as the mapping function. The transformation is studied in both the formant frequency and...

We define and study the link prediction problem in bipartite networks, specializing general link prediction algorithms to the bipartite case. In a graph, a link prediction function of two vertices denotes the similarity or proximity of the vertices. Common link prediction functions for general graphs are defined using paths of length two between two nodes. Since in a bipartite graph adjacency v...

An analytical approach to the one-dimensional spinless Holstein model is proposed, which is valid at finite charge-carrier concentrations. Spectral functions of charge carriers are computed on the basis of self-energy calculations. A generalization of the Lang-Firsov canonical transformation method is shown to provide an interpolation scheme between the extreme weak– and strong-coupling cases. ...

The Capon-MVDR (Minimum Variance Distortionless Response) method of frequency-wavenumber spectral estimation requires an invertible spatial covariance estimate. Increasingly, however, one must deal with a singular covariance matrix. The ubiquity of inexpensive sensors implies that the dimension of the covariance matrix is ever-increasing, but coherence times have not changed, so the number of v...

The fusion of remote sensing images has become one of the new hotspots in recent years. It can not only improve spatial resolution effectively, but can keep the integrity of the multi-spectral image. In this paper, we take the Hangzhou area as an example and put forward a new image fusion based on lifting wavelet transformation, and carry out the qualitative and quantitative comparison to the s...