In some ultrasonic measurement situations, an adequate signal separation is difficult to achieve. A typical situation is material characterization of thin media using pulse-echo or through-transmission techniques, when the time-of-flight in the media is shorter than the emitted signal's time support. Separated signals are necessary to obtain accurate estimates of material properties and transit...

Reproducibility of electrophoretic runs depends on the maintenance of a smooth and constant voltage gradient within the supporting medium or separation chamber. Power packs to supply constant current or constant voltage as measured at the pack are readily available, but if such a pack is used with constant voltage, the proportion of the voltage drop available for the electrophoretic separation ...

present survey studies intensity of heavy metals pollution (ca, fe, ni, cd, pb, zn, as, hg) in the sediments of bamdezh wetland. the main objective of the study is to quantify heavy metal pollution intensity in the wetland. other objectives of the study are separation of natural and anthropogenic heavy metal pollution and identification of the origin of heavy metals. results of this study shows...

Reverberation is known to introduce difficulties in audio source separation, and reverse engineering independent sources from a convolutive mixture is one of the toughest challenges within blind source separation. This paper proposes two novel methods that combine dereverberation work with microphone interference reduction. The results are evaluated objectively using the BSS Eval toolbox and Re...

By THOMAS G. FERRIS, ROBERT E. EASTERLING AND RICHARD E. BUDD T HE VARIOUS types of hemoglobins have been identified and reported by means of zone electrophoresis using supporting media such as filter paper,’ starch,2 agar,3 cellulose acetate,4 and combinations of these media. Recently a synthetic acrylamide gel ( Cyanogum 41#{176} ) has been investigated and found to have characteristics which...

The problem of separating individual sound sources from a mixture of these, known as Source Separation or Computational Auditory Scene Analysis (CASA), has become popular in the recent decades. A number of methods have emerged from the study of this problem, some of which perform very well for certain types of audio sources, e.g. speech. For separation of instruments in music, there are several...

In this chapter, we provide an overview of existing algorithms for blind source separation of convolutive audio mixtures. We provide a taxonomy, wherein many of the existing algorithms can be organized, and we present published results from those algorithms that have been applied to real-world audio separation tasks.

Source extraction in audio is an important problem in the study of blind source separation (BSS) with many practical applications. It is a challenging problem when the foreground sources to be extracted are weak compared to the background sources. Traditional techniques often do not work in this setting. In this paper we propose a novel technique for extracting foreground sources. This is achie...