This study was conducted to determine the location of DNA segment with homology to the rat conserved genomic DNA in human chromosomes. The labeled rat genomic DNA was hybridized with normal human (male) metaphases. The study of 74 metaphases after fluorescence in situ hybridization showed 371 twin-spot signals on human chromosomes. Statistical analysis indicated that the specific accumulation o...

This paper proposes blind source extraction methods based on several time-delay autocorrelations of primary sources, called MACBSE. The MACBSE approaches are batch fixed-point learning algorithms for extraction of source signals with linear autocorrelations. The fixed-point algorithms are very simple and do not need choose any learning step sizes. Furthermore, the convergence properties of the ...

Electromyographic (EMG) signals are used as rich information sources for control of intelligent prosthetics. For efficient classification the machine learning algorithms used should allow the nonlinear nature of the multi class problem. For generalized application they should have the analytical ability to systematically tackle the problem in hand. To meet these requirements a pair-wise Linear ...

Signals that represent information may be classified into two forms: numeric and symbolic. Symbolic signals are discrete-time sequences that at, any particular index, have a value that is a member of a finite set of symbols. Set membership defines the only mathematical structure that symbolic sequences satisfy. Consequently, symbolic signals cannot be directly processed with existing signal pro...

In this paper we present the design of multiband linear subband prediction (LSP) filters for wideband signals. A wideband signal is divided into narrowband subband signals via an array of lowpass/bandpass filters. A linear prediction filter is designed for each subband channel, which has its own designated frequency interval. The filter coefficients are fixed throughout the coding process. A cl...

A pixel in remotely sensed hyperspectral imagery is typically a mixture of multiple electromagnetic radiances from various ground cover materials. Spectral unmixing is a quantitative analysis procedure used to recognize constituent ground cover materials (or endmembers) and obtain their mixing proportions (or abundances) from a mixed pixel. The abundances are typically estimated using the least...

We consider certain spaces of linear signals equipped with a standard prefix relation and a suitably defined generalized distance function. We introduce a new class of abstract structures, which we call generalized ultrametric semilattices, and prove a representation theorem stating that every generalized ultrametric semilattice with a totally ordered distance set is isomorphic to a space of th...

Linear canonical transforms play an important role in many fields of optics and signal processing. Well-known transforms such as the Fourier transform, the fractional Fourier transform, and the Fresnel transform can be seen as special cases of the linear canonical transform. In this paper we develop a sampling theorem for linear canonical transformed signals. The well-known Shannon sampling the...