Heavy metal pollution by natural factors is a world-wide phenomenon. Release of large quantities of heavy metals without handling proper processes that could decrease the concentration of such a material is a hassle that makes strains resistant to these heavy metals apart from entering into human food chain. In this research, wastewater of four firms in Guilan province such as Foolad, Risandegi...

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Novel fluorescent probes have been developed for the ultratrace detection of heavy metal ions by capillary electrophoresis using laser-induced fluorescence detection. Based on a molecular design, the probes are composed of an octadentate chelating moiety, a macrocyclic DOTA (tetraazacyclododecanetetraacetic acid) and an acyclic DTPA (diethylenetriaminepentaacetic acid) frame, a spacer and a flu...

This thesis aims to assess the environmental consequences of management strategies for wood waste in Sweden. There is a special focus on separation strategies and in what way they influence environmental aspects related to the presence of heavy metals in the waste. Actors’ incentives and capacity to influence wood waste management are analysed, emphasising the importance of driving forces such ...

We consider the problem of convolutive blind source separation of audio mixtures. We propose an Adaptive Stereo Basis (ASB) method based on learning a set of basis vectors pairs from the time-domain stereo mixtures. The basis vector pairs are clustered using estimated directions of arrival (DOAs) such that each basis vector pair is associated with one source. The ASB method is compared with the...

-Blind source separation is an advanced statistical tool that has found widespread use in many signal processing applications. However, the crux topic based on one channel audio source separation has not fully developed to enable its way to laboratory implementation. The main idea approach to single channel blind source separation is based on exploiting the inherent time structure of sources kn...

In a variety of applications of audio signal processing, for example blind source separation (BSS), harmonic signals need to be treated differently from percussive signals. Thus, recognizing if a signal is harmonic or percussive is a very helpful and frequently used preprocessing step. Different measures have been proposed to capture either the harmonicity or the percussivity of a signal, using...

This paper presents a blind source separation process for convolutive mixtures of audio sources. Here undetermined condition that is few microphones than sources has been considered as a mixing model. By an expectation–maximization (EM) algorithm the separation operation is performed in the frequency domain. The T-F masking separation is made use which is a powerful approach for the separation ...

This paper applies blind source separation or independent component analysis for images that may contain mixtures of text, audio, or other images for steganography purposes. The paper focuses on separating mixtures in the transform domain such as Fourier domain or the Wavelet domain. The study addresses the effectiveness of steganography when using linear mixtures of multimedia components and t...

Techniques where a stereo or a multichannel signal is decomposed into spatial source-labeled time-frequency slots by level, time-difference, and coherence metrics have become popular in recent years. Good examples are binaural cue coding and up/downmixing techniques. In the article, we will provide an overview and discuss parallel approaches in the field of array processing and blind source sep...