diolefinic antibacterial laser dye namely 1,4-bis[2-(4-pyridyl) vinyl] benzene (4pvb)have been investigated electrochemically using cyclic voltammetry, chronoamperometry, convolution and deconvolution voltammetry combined with digital simulation techniques at a platinum electrode in 0.1 mol / l tetra butyl ammonium perchlorate (tbap) in  solvent 1,2-dichloroethane.  the diolefinic species were ...

Diolefinic antibacterial laser dye namely 1,4-Bis[2-(4-Pyridyl) Vinyl] Benzene (4PVB)have been investigated electrochemically using cyclic voltammetry, chronoamperometry, convolution and deconvolution voltammetry combined with digital simulation techniques at a platinum electrode in 0.1 mol / L Tetra Butyl Ammonium Perchlorate (TBAP) in  solvent 1,2-dichloroethane.  The diolefinic ...

Hydroquinone (HQ) was electrochemically measured using convolutive cyclic voltammetry and differential pulse (DPV) on a nano-architecture mesoporous platinum film grown from hexagonal liquid crystalline template of C16EO8 surfactant in 1.0 mol/l HClO4. The HQ voltammograms produced one oxidative peak the forward sweep potential reductive reverse sweep. effect concentration investigated differen...

Abstract On the normal platinum electrode and mesoporous Pt electrode, electrochemical behaviour of catechol was studied using convolutive cyclic voltammetry numerical simulation. The nanostructured structure electrochemically deposited from hexadic liquid crystalline template C 16 EO 8 surfactant. electrocatalytic feature reversibility within oxidation in 1.0 M HClO 4 have been found to be ext...

This paper introduces a Recurrent Flexible ICA approach to a novel blind sources separation problem in convolutive nonlinear environment. The proposed algorithm performs the separation after the convolutive mixing of post nonlinear convolutive mixtures. The recurrent neural network produces the separation by minimizing the output mutual information. Experimental results are described to show th...

This paper proposes a new algorithm for solving the Blind Signal Separation (BSS) problem for convolutive mixing completely in the time domain. The closed form expressions used for first and second order optimization techniques derived in [1] are extended to accommodate the more practical convolutive mixing scenario. Traditionally convolutive BSS problems are solved in the frequency domain [2],...

This work addresses on blind separation of convolutive mixtures of independent sources. The temporally convolutive structure is assumed to be composed of multiple mixing matrices, each corresponding to a time delay, collectively transforming a segment of consecutive source signals to form multichannel observations. As τ = 1, this problem reduces to linear independent component analysis. For arb...

The CICAAR algorithm (convolutive independent component analysis with an auto-regressive inverse model) allows separation of white (i.i.d) source signals from convolutive mixtures. We introduce a source color model as a simple extension to the CICAAR which allows for a more parsimonious representation in many practical mixtures. The new filter-CICAAR allows Bayesian model selection and can help...