The quantity, harmonic-to-noise ratio (HNR), has been used to estimate the level of noise in human voice signals. HNR estimation can be accomplished in two ways: (1) on a time-domain basis, in which HNR is computed directly from the acoustic waveform; and (2) on a frequency-domain basis, in which HNR is computed from a transformed representation of the waveform. An algorithm for computing HNR i...

A novel Non-negative Matrix Factorization (NMF) based subband decomposition in frequency-spatial domain for acoustic source localization using a microphone array. The proposed method decomposes source and noise subband and emphasizes source dominant frequency bins for more accurate source representation. By employing NMF, we extract Delay Basis Vectors (DBV) and their subband information in fre...

In this paper a new time-domain frequency-selective quantification algorithm is presented. Frequency-selective quantification refers to a method that analyzes spectral components in a selected frequency region, ignoring all the other components outside. The algorithm, referred to as MeFreS (Metropolis Frequency-Selective), is based on rank minimization of an opportune Hankel matrix. The minimiz...

[1] A correspondence of the lunar regolith-layer thickness to the lunar digital elevation mapping is proposed to tentatively construct the global distribution of lunar regolith-layer thickness. Using Clementine ultraviolet visible multispectral data, the global spatial distribution of FeO + TiO2 content on the lunar regolith layer is calculated. Thus the dielectric permittivity of the global lu...

We construct a new adaptive basis that provide precise frequency localization and good spatial localization. We develop a compression algorithm that exploits this basis to obtain the most economical representation of an image in terms of textured patterns with diierent orientations, frequencies , sizes, and positions. The technique directly works in the Fourier domain and has potential applicat...